Deriv Trading Software - v0 by VercelDeriv Trading Software - v0 by Vercel

Live Deriv Data Analysis - Professional Trading Softwareimport tkinter as tkfrom tkinter import ttk, messageboximport timeimport threadingimport random# Initialize root windowroot = tk.Tk()root.title("Live Deriv Data Analysis")root.geometry("1200x700")root.configure(bg="black")# Theme configurationcurrent_theme = "dark"def switch_theme(): global current_theme if current_theme == "dark": root.configure(bg="white") current_theme = "light" else: root.configure(bg="black") current_theme = "dark"# Menu bar with theme toggle and logoutmenu_frame = tk.Frame(root, bg="gray")menu_frame.pack(fill="x", side="top")logout_button = tk.Button(menu_frame, text="Logout", command=root.quit)logout_button.pack(side="right", padx=10)moon_button = tk.Button(menu_frame, text="🌙", command=switch_theme)moon_button.pack(side="right")# Start/Stop Analysisstreaming = Falsedef toggle_stream(): global streaming streaming = not streaming if streaming: start_button.config(text="Stop Analysis") else: start_button.config(text="Start Analysis")start_button = tk.Button(root, text="Start Analysis", command=toggle_stream)start_button.pack(pady=10)# Pop-up strategies (example: Matches/Differs)def show_matches_differs(): popup = tk.Toplevel(root) popup.title("Matches/Differs") popup.geometry("300x200") def run_ai_prediction(option): countdown_label = tk.Label(popup, text="Analyzing...", font=("Arial", 12)) countdown_label.pack(pady=5) def countdown(): for i in range(15, 0, -1): countdown_label.config(text=f"{i}s") time.sleep(1) prediction = random.randint(0, 9) prob = random.uniform(80, 99.9) recommend = "YES" if prob > 85 else "NO" messagebox.showinfo("Prediction", f"Digit: {prediction}\nProbability: {prob:.2f}%\nRecommend Entry: {recommend}") threading.Thread(target=countdown).start() tk.Button(popup, text="Matches", command=lambda: run_ai_prediction("Matches")).pack(pady=5) tk.Button(popup, text="Differs", command=lambda: run_ai_prediction("Differs")).pack(pady=5)def show_even_odd(): popup = tk.Toplevel(root) popup.title("Even/Odd") popup.geometry("300x150") def predict(option): prob = random.uniform(70, 95) recommendation = "YES" if prob > 80 else "NO" messagebox.showinfo("Prediction", f"Next likely: {option}\nConfidence: {prob:.2f}%\nRecommend: {recommendation}") tk.Button(popup, text="Even", command=lambda: predict("Even")).pack(pady=5) tk.Button(popup, text="Odd", command=lambda: predict("Odd")).pack(pady=5)def show_over_under(): popup = tk.Toplevel(root) popup.title("Over/Under") popup.geometry("300x200") def analyze(option): countdown = tk.Label(popup, text="15s") countdown.pack() def count(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) digit = random.randint(0, 9) confidence = random.uniform(80, 99.9) runs = min(3, int(confidence / 33)) msg = f"Entry: {digit}\nConfidence: {confidence:.2f}%\nRuns: {runs}\nRecommendation: {'YES' if confidence > 85 else 'NO'}" messagebox.showinfo("AI Result", msg) threading.Thread(target=count).start() tk.Button(popup, text="Over", command=lambda: analyze("Over")).pack(pady=5) tk.Button(popup, text="Under", command=lambda: analyze("Under")).pack(pady=5)def show_rise_fall(): popup = tk.Toplevel(root) popup.title("Rise/Fall") popup.geometry("300x200") def predict(direction): countdown = tk.Label(popup, text="15s") countdown.pack() def run(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) confidence = random.uniform(75, 98.5) recommend = "YES" if confidence > 85 else "NO" messagebox.showinfo("Prediction", f"Direction: {direction}\nConfidence: {confidence:.2f}%\nRecommend: {recommend}") threading.Thread(target=run).start() tk.Button(popup, text="Rise", command=lambda: predict("Rise")).pack(pady=5) tk.Button(popup, text="Fall", command=lambda: predict("Fall")).pack(pady=5)# Strategy Buttonsbtn_frame = tk.Frame(root, bg="black")btn_frame.pack(pady=20)strategies = [ ("Matches/Differs", show_matches_differs), ("Even/Odd", show_even_odd), ("Over/Under", show_over_under), ("Rise/Fall", show_rise_fall)]for label, command in strategies: tk.Button(btn_frame, text=label, width=15, command=command).pack(side="left", padx=10)# Run main looproot.mainloop()

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266d ago

I'll recreate your Live Deriv Data Analysis trading software as a modern web application with all the same functionality.

I've recreated your Live Deriv Data Analysis software as a modern web application with all the original functionality:

Key Features Implemented:

Professional Trading Interface - Dark/light theme with trading-appropriate colors
Theme Toggle - Moon/sun icon to switch between dark and light modes
Start/Stop Analysis - Button to toggle streaming analysis status
Strategy Modals - Four trading strategies with popup dialogs:
- Matches/Differs
- Even/Odd
- Over/Under
- Rise/Fall
AI Prediction System - Simulated analysis with:
- 15-second countdown timer with progress bar
- Random confidence percentages (70-99.9%)
- Recommendation system (YES/NO based on confidence)
- Strategy-specific predictions
Professional Styling - Modern card-based layout with hover effects and animations

Enhancements Over Original:

Responsive design that works on all devices
Smooth animations and transitions
Progress bars during analysis
Modern UI components
Better visual hierarchy
Status indicators

The application maintains the same workflow as your Python version but with a more modern, professional appearance suitable for trading platforms.

266d ago

Live Deriv Data Analysis - Professional Trading Softwareimport tkinter as tkfrom tkinter import ttk, messageboximport timeimport threadingimport random# Initialize root windowroot = tk.Tk()root.title("Live Deriv Data Analysis")root.geometry("1200x700")root.configure(bg="black")# Theme configurationcurrent_theme = "dark"def switch_theme(): global current_theme if current_theme == "dark": root.configure(bg="white") current_theme = "light" else: root.configure(bg="black") current_theme = "dark"# Menu bar with theme toggle and logoutmenu_frame = tk.Frame(root, bg="gray")menu_frame.pack(fill="x", side="top")logout_button = tk.Button(menu_frame, text="Logout", command=root.quit)logout_button.pack(side="right", padx=10)moon_button = tk.Button(menu_frame, text="🌙", command=switch_theme)moon_button.pack(side="right")# Start/Stop Analysisstreaming = Falsedef toggle_stream(): global streaming streaming = not streaming if streaming: start_button.config(text="Stop Analysis") else: start_button.config(text="Start Analysis")start_button = tk.Button(root, text="Start Analysis", command=toggle_stream)start_button.pack(pady=10)# Pop-up strategies (example: Matches/Differs)def show_matches_differs(): popup = tk.Toplevel(root) popup.title("Matches/Differs") popup.geometry("300x200") def run_ai_prediction(option): countdown_label = tk.Label(popup, text="Analyzing...", font=("Arial", 12)) countdown_label.pack(pady=5) def countdown(): for i in range(15, 0, -1): countdown_label.config(text=f"{i}s") time.sleep(1) prediction = random.randint(0, 9) prob = random.uniform(80, 99.9) recommend = "YES" if prob > 85 else "NO" messagebox.showinfo("Prediction", f"Digit: {prediction}\nProbability: {prob:.2f}%\nRecommend Entry: {recommend}") threading.Thread(target=countdown).start() tk.Button(popup, text="Matches", command=lambda: run_ai_prediction("Matches")).pack(pady=5) tk.Button(popup, text="Differs", command=lambda: run_ai_prediction("Differs")).pack(pady=5)def show_even_odd(): popup = tk.Toplevel(root) popup.title("Even/Odd") popup.geometry("300x150") def predict(option): prob = random.uniform(70, 95) recommendation = "YES" if prob > 80 else "NO" messagebox.showinfo("Prediction", f"Next likely: {option}\nConfidence: {prob:.2f}%\nRecommend: {recommendation}") tk.Button(popup, text="Even", command=lambda: predict("Even")).pack(pady=5) tk.Button(popup, text="Odd", command=lambda: predict("Odd")).pack(pady=5)def show_over_under(): popup = tk.Toplevel(root) popup.title("Over/Under") popup.geometry("300x200") def analyze(option): countdown = tk.Label(popup, text="15s") countdown.pack() def count(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) digit = random.randint(0, 9) confidence = random.uniform(80, 99.9) runs = min(3, int(confidence / 33)) msg = f"Entry: {digit}\nConfidence: {confidence:.2f}%\nRuns: {runs}\nRecommendation: {'YES' if confidence > 85 else 'NO'}" messagebox.showinfo("AI Result", msg) threading.Thread(target=count).start() tk.Button(popup, text="Over", command=lambda: analyze("Over")).pack(pady=5) tk.Button(popup, text="Under", command=lambda: analyze("Under")).pack(pady=5)def show_rise_fall(): popup = tk.Toplevel(root) popup.title("Rise/Fall") popup.geometry("300x200") def predict(direction): countdown = tk.Label(popup, text="15s") countdown.pack() def run(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) confidence = random.uniform(75, 98.5) recommend = "YES" if confidence > 85 else "NO" messagebox.showinfo("Prediction", f"Direction: {direction}\nConfidence: {confidence:.2f}%\nRecommend: {recommend}") threading.Thread(target=run).start() tk.Button(popup, text="Rise", command=lambda: predict("Rise")).pack(pady=5) tk.Button(popup, text="Fall", command=lambda: predict("Fall")).pack(pady=5)# Strategy Buttonsbtn_frame = tk.Frame(root, bg="black")btn_frame.pack(pady=20)strategies = [ ("Matches/Differs", show_matches_differs), ("Even/Odd", show_even_odd), ("Over/Under", show_over_under), ("Rise/Fall", show_rise_fall)]for label, command in strategies: tk.Button(btn_frame, text=label, width=15, command=command).pack(side="left", padx=10)# Run main looproot.mainloop()

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266d ago

I see you've shared the same Python tkinter code again. I already created a web version of your Live Deriv Data Analysis software.

Could you please clarify what you'd like me to do? For example:

Make specific improvements to the existing web version?
Fix any functionality that doesn't match the original?
Add new features like real-time data integration?
Adjust the behavior to be more faithful to the Python version?

Or if you'd like me to make specific changes, I noticed a few differences between the original Python version and my web implementation:

The Even/Odd strategy in the original gives immediate results (no countdown)
The probability ranges vary slightly between strategies
The result display could be more similar to the original messageboxes

Would you like me to:

Please let me know what specific changes or improvements you'd like me to make!

266d ago

Live Deriv Data Analysis V0 — Combined Script (Frontend + AI + Stream Logic)else:st.markdown("""<style>body { background-color: white; color: black; }</style>""", unsafe_allow_html=True)# --- Top barcol1, col2 = st.columns([9, 1])with col1:st.title("Live Deriv Data Analysis")with col2:if st.button("🌙" if st.session_state.dark_mode else "☀️"):st.session_state.dark_mode = not st.session_state.dark_modest.experimental_rerun()# --- Login Dashboardif 'logged_in' not in st.session_state:st.session_state.logged_in = Falseif not st.session_state.logged_in:st.subheader("Welcome Back")st.write("Sign in to your professional trading dashboard")username = st.text_input("Username", value="")password = st.text_input("Password", type="password", value="")agree = st.checkbox("I agree to the Terms and Conditions & Privacy Policy")if st.button("Login") and username and password and agree:st.session_state.logged_in = Truest.experimental_rerun()st.stop()# --- Controlsst.markdown("---")col1, col2 = st.columns([6, 1])with col1:market = st.selectbox("Select Market", ["Volatility 10 Index", "Volatility 25 Index", "Volatility 50 Index", "Volatility 75 Index", "Volatility 100 Index"])with col2:start = st.toggle("Start/Stop Analysis")# --- Session Statisticsst.markdown("### Session Statistics")stats1, stats2 = st.columns(2)with stats1:st.metric("Total Ticks", 0)with stats2:st.metric("Most Frequent Digit", "-")# --- Strategy Buttonsst.markdown("---")st.markdown("### Strategy Analysis")strategy = st.radio("Select Strategy", ["Matches/Differs", "Even/Odd", "Over/Under"])# --- Strategy Logicif strategy == "Over/Under":choice = st.radio("AI Prediction for", ["Over", "Under"])if st.button("Get AI Prediction"):with st.spinner("Analyzing Over/Under market..."):time.sleep(15)prediction_digit = random.randint(0, 9)confidence = random.randint(70, 99)runs = random.randint(1, 3)st.success(f"Prediction: {choice} {prediction_digit}")st.write(f"Confidence: {confidence}%")st.write(f"Recommended Runs: {runs} (max 3)")# --- Logoutif st.button("Logout"):st.session_state.logged_in = Falsest.experimental_rerun()

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266d ago

Live Deriv Data Analysis - Professional Trading Softwareimport tkinter as tkfrom tkinter import ttk, messageboximport timeimport threadingimport random# Initialize root windowroot = tk.Tk()root.title("Live Deriv Data Analysis")root.geometry("1200x700")root.configure(bg="black")# Theme configurationcurrent_theme = "dark"def switch_theme(): global current_theme if current_theme == "dark": root.configure(bg="white") current_theme = "light" else: root.configure(bg="black") current_theme = "dark"# Menu bar with theme toggle and logoutmenu_frame = tk.Frame(root, bg="gray")menu_frame.pack(fill="x", side="top")logout_button = tk.Button(menu_frame, text="Logout", command=root.quit)logout_button.pack(side="right", padx=10)moon_button = tk.Button(menu_frame, text="🌙", command=switch_theme)moon_button.pack(side="right")# Start/Stop Analysisstreaming = Falsedef toggle_stream(): global streaming streaming = not streaming if streaming: start_button.config(text="Stop Analysis") else: start_button.config(text="Start Analysis")start_button = tk.Button(root, text="Start Analysis", command=toggle_stream)start_button.pack(pady=10)# Pop-up strategies (example: Matches/Differs)def show_matches_differs(): popup = tk.Toplevel(root) popup.title("Matches/Differs") popup.geometry("300x200") def run_ai_prediction(option): countdown_label = tk.Label(popup, text="Analyzing...", font=("Arial", 12)) countdown_label.pack(pady=5) def countdown(): for i in range(15, 0, -1): countdown_label.config(text=f"{i}s") time.sleep(1) prediction = random.randint(0, 9) prob = random.uniform(80, 99.9) recommend = "YES" if prob > 85 else "NO" messagebox.showinfo("Prediction", f"Digit: {prediction}\nProbability: {prob:.2f}%\nRecommend Entry: {recommend}") threading.Thread(target=countdown).start() tk.Button(popup, text="Matches", command=lambda: run_ai_prediction("Matches")).pack(pady=5) tk.Button(popup, text="Differs", command=lambda: run_ai_prediction("Differs")).pack(pady=5)def show_even_odd(): popup = tk.Toplevel(root) popup.title("Even/Odd") popup.geometry("300x150") def predict(option): prob = random.uniform(70, 95) recommendation = "YES" if prob > 80 else "NO" messagebox.showinfo("Prediction", f"Next likely: {option}\nConfidence: {prob:.2f}%\nRecommend: {recommendation}") tk.Button(popup, text="Even", command=lambda: predict("Even")).pack(pady=5) tk.Button(popup, text="Odd", command=lambda: predict("Odd")).pack(pady=5)def show_over_under(): popup = tk.Toplevel(root) popup.title("Over/Under") popup.geometry("300x200") def analyze(option): countdown = tk.Label(popup, text="15s") countdown.pack() def count(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) digit = random.randint(0, 9) confidence = random.uniform(80, 99.9) runs = min(3, int(confidence / 33)) msg = f"Entry: {digit}\nConfidence: {confidence:.2f}%\nRuns: {runs}\nRecommendation: {'YES' if confidence > 85 else 'NO'}" messagebox.showinfo("AI Result", msg) threading.Thread(target=count).start() tk.Button(popup, text="Over", command=lambda: analyze("Over")).pack(pady=5) tk.Button(popup, text="Under", command=lambda: analyze("Under")).pack(pady=5)def show_rise_fall(): popup = tk.Toplevel(root) popup.title("Rise/Fall") popup.geometry("300x200") def predict(direction): countdown = tk.Label(popup, text="15s") countdown.pack() def run(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) confidence = random.uniform(75, 98.5) recommend = "YES" if confidence > 85 else "NO" messagebox.showinfo("Prediction", f"Direction: {direction}\nConfidence: {confidence:.2f}%\nRecommend: {recommend}") threading.Thread(target=run).start() tk.Button(popup, text="Rise", command=lambda: predict("Rise")).pack(pady=5) tk.Button(popup, text="Fall", command=lambda: predict("Fall")).pack(pady=5)# Strategy Buttonsbtn_frame = tk.Frame(root, bg="black")btn_frame.pack(pady=20)strategies = [ ("Matches/Differs", show_matches_differs), ("Even/Odd", show_even_odd), ("Over/Under", show_over_under), ("Rise/Fall", show_rise_fall)]for label, command in strategies: tk.Button(btn_frame, text=label, width=15, command=command).pack(side="left", padx=10)# Run main looproot.mainloop()

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266d ago

I'll recreate your Live Deriv Data Analysis trading software as a modern web application with all the same functionality.

I've recreated your Live Deriv Data Analysis software as a modern web application with all the original functionality:

Key Features Implemented:

Professional Trading Interface - Dark/light theme with trading-appropriate colors
Theme Toggle - Moon/sun icon to switch between dark and light modes
Start/Stop Analysis - Button to toggle streaming analysis status
Strategy Modals - Four trading strategies with popup dialogs:
- Matches/Differs
- Even/Odd
- Over/Under
- Rise/Fall
AI Prediction System - Simulated analysis with:
- 15-second countdown timer with progress bar
- Random confidence percentages (70-99.9%)
- Recommendation system (YES/NO based on confidence)
- Strategy-specific predictions
Professional Styling - Modern card-based layout with hover effects and animations

Enhancements Over Original:

Responsive design that works on all devices
Smooth animations and transitions
Progress bars during analysis
Modern UI components
Better visual hierarchy
Status indicators

The application maintains the same workflow as your Python version but with a more modern, professional appearance suitable for trading platforms.

266d ago

Live Deriv Data Analysis - Professional Trading Softwareimport tkinter as tkfrom tkinter import ttk, messageboximport timeimport threadingimport random# Initialize root windowroot = tk.Tk()root.title("Live Deriv Data Analysis")root.geometry("1200x700")root.configure(bg="black")# Theme configurationcurrent_theme = "dark"def switch_theme(): global current_theme if current_theme == "dark": root.configure(bg="white") current_theme = "light" else: root.configure(bg="black") current_theme = "dark"# Menu bar with theme toggle and logoutmenu_frame = tk.Frame(root, bg="gray")menu_frame.pack(fill="x", side="top")logout_button = tk.Button(menu_frame, text="Logout", command=root.quit)logout_button.pack(side="right", padx=10)moon_button = tk.Button(menu_frame, text="🌙", command=switch_theme)moon_button.pack(side="right")# Start/Stop Analysisstreaming = Falsedef toggle_stream(): global streaming streaming = not streaming if streaming: start_button.config(text="Stop Analysis") else: start_button.config(text="Start Analysis")start_button = tk.Button(root, text="Start Analysis", command=toggle_stream)start_button.pack(pady=10)# Pop-up strategies (example: Matches/Differs)def show_matches_differs(): popup = tk.Toplevel(root) popup.title("Matches/Differs") popup.geometry("300x200") def run_ai_prediction(option): countdown_label = tk.Label(popup, text="Analyzing...", font=("Arial", 12)) countdown_label.pack(pady=5) def countdown(): for i in range(15, 0, -1): countdown_label.config(text=f"{i}s") time.sleep(1) prediction = random.randint(0, 9) prob = random.uniform(80, 99.9) recommend = "YES" if prob > 85 else "NO" messagebox.showinfo("Prediction", f"Digit: {prediction}\nProbability: {prob:.2f}%\nRecommend Entry: {recommend}") threading.Thread(target=countdown).start() tk.Button(popup, text="Matches", command=lambda: run_ai_prediction("Matches")).pack(pady=5) tk.Button(popup, text="Differs", command=lambda: run_ai_prediction("Differs")).pack(pady=5)def show_even_odd(): popup = tk.Toplevel(root) popup.title("Even/Odd") popup.geometry("300x150") def predict(option): prob = random.uniform(70, 95) recommendation = "YES" if prob > 80 else "NO" messagebox.showinfo("Prediction", f"Next likely: {option}\nConfidence: {prob:.2f}%\nRecommend: {recommendation}") tk.Button(popup, text="Even", command=lambda: predict("Even")).pack(pady=5) tk.Button(popup, text="Odd", command=lambda: predict("Odd")).pack(pady=5)def show_over_under(): popup = tk.Toplevel(root) popup.title("Over/Under") popup.geometry("300x200") def analyze(option): countdown = tk.Label(popup, text="15s") countdown.pack() def count(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) digit = random.randint(0, 9) confidence = random.uniform(80, 99.9) runs = min(3, int(confidence / 33)) msg = f"Entry: {digit}\nConfidence: {confidence:.2f}%\nRuns: {runs}\nRecommendation: {'YES' if confidence > 85 else 'NO'}" messagebox.showinfo("AI Result", msg) threading.Thread(target=count).start() tk.Button(popup, text="Over", command=lambda: analyze("Over")).pack(pady=5) tk.Button(popup, text="Under", command=lambda: analyze("Under")).pack(pady=5)def show_rise_fall(): popup = tk.Toplevel(root) popup.title("Rise/Fall") popup.geometry("300x200") def predict(direction): countdown = tk.Label(popup, text="15s") countdown.pack() def run(): for i in range(15, 0, -1): countdown.config(text=f"{i}s") time.sleep(1) confidence = random.uniform(75, 98.5) recommend = "YES" if confidence > 85 else "NO" messagebox.showinfo("Prediction", f"Direction: {direction}\nConfidence: {confidence:.2f}%\nRecommend: {recommend}") threading.Thread(target=run).start() tk.Button(popup, text="Rise", command=lambda: predict("Rise")).pack(pady=5) tk.Button(popup, text="Fall", command=lambda: predict("Fall")).pack(pady=5)# Strategy Buttonsbtn_frame = tk.Frame(root, bg="black")btn_frame.pack(pady=20)strategies = [ ("Matches/Differs", show_matches_differs), ("Even/Odd", show_even_odd), ("Over/Under", show_over_under), ("Rise/Fall", show_rise_fall)]for label, command in strategies: tk.Button(btn_frame, text=label, width=15, command=command).pack(side="left", padx=10)# Run main looproot.mainloop()

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266d ago

I see you've shared the same Python tkinter code again. I already created a web version of your Live Deriv Data Analysis software.

Could you please clarify what you'd like me to do? For example:

Make specific improvements to the existing web version?
Fix any functionality that doesn't match the original?
Add new features like real-time data integration?
Adjust the behavior to be more faithful to the Python version?

Or if you'd like me to make specific changes, I noticed a few differences between the original Python version and my web implementation:

The Even/Odd strategy in the original gives immediate results (no countdown)
The probability ranges vary slightly between strategies
The result display could be more similar to the original messageboxes

Would you like me to:

Please let me know what specific changes or improvements you'd like me to make!

266d ago

Live Deriv Data Analysis V0 — Combined Script (Frontend + AI + Stream Logic)else:st.markdown("""<style>body { background-color: white; color: black; }</style>""", unsafe_allow_html=True)# --- Top barcol1, col2 = st.columns([9, 1])with col1:st.title("Live Deriv Data Analysis")with col2:if st.button("🌙" if st.session_state.dark_mode else "☀️"):st.session_state.dark_mode = not st.session_state.dark_modest.experimental_rerun()# --- Login Dashboardif 'logged_in' not in st.session_state:st.session_state.logged_in = Falseif not st.session_state.logged_in:st.subheader("Welcome Back")st.write("Sign in to your professional trading dashboard")username = st.text_input("Username", value="")password = st.text_input("Password", type="password", value="")agree = st.checkbox("I agree to the Terms and Conditions & Privacy Policy")if st.button("Login") and username and password and agree:st.session_state.logged_in = Truest.experimental_rerun()st.stop()# --- Controlsst.markdown("---")col1, col2 = st.columns([6, 1])with col1:market = st.selectbox("Select Market", ["Volatility 10 Index", "Volatility 25 Index", "Volatility 50 Index", "Volatility 75 Index", "Volatility 100 Index"])with col2:start = st.toggle("Start/Stop Analysis")# --- Session Statisticsst.markdown("### Session Statistics")stats1, stats2 = st.columns(2)with stats1:st.metric("Total Ticks", 0)with stats2:st.metric("Most Frequent Digit", "-")# --- Strategy Buttonsst.markdown("---")st.markdown("### Strategy Analysis")strategy = st.radio("Select Strategy", ["Matches/Differs", "Even/Odd", "Over/Under"])# --- Strategy Logicif strategy == "Over/Under":choice = st.radio("AI Prediction for", ["Over", "Under"])if st.button("Get AI Prediction"):with st.spinner("Analyzing Over/Under market..."):time.sleep(15)prediction_digit = random.randint(0, 9)confidence = random.randint(70, 99)runs = random.randint(1, 3)st.success(f"Prediction: {choice} {prediction_digit}")st.write(f"Confidence: {confidence}%")st.write(f"Recommended Runs: {runs} (max 3)")# --- Logoutif st.button("Logout"):st.session_state.logged_in = Falsest.experimental_rerun()

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266d ago