diff --git a/tools/Show_Backtest_Result.py b/tools/Show_Backtest_Result.py
new file mode 100644
index 0000000..931f8b2
--- /dev/null
+++ b/tools/Show_Backtest_Result.py
@@ -0,0 +1,92 @@
+import pandas as pd
+import plotly.graph_objects as go
+from jinja2 import Template
+import json
+import datetime
+
+# === CONFIGURATION ===
+SUMMARY_FILE = "user_data/backtest_results/result.json" # chemin vers ton JSON
+BALANCE_HISTORY_FILE = "user_data/backtest_results/backtest_result.json" # ou fichier contenant le portefeuille
+
+# === CHARGEMENT DES DONNÉES ===
+with open(SUMMARY_FILE, "r") as f:
+ summary = json.load(f)
+
+df_summary = pd.DataFrame([summary])
+start = summary.get("backtest_start", "")
+end = summary.get("backtest_end", "")
+final_balance = summary.get("final_balance", 0)
+
+# === AFFICHAGE DES ÉVOLUTIONS DE BALANCE ===
+result = pd.read_json(BALANCE_HISTORY_FILE)
+result["date"] = pd.to_datetime(result["date"])
+balance_trace = go.Scatter(
+ x=result["date"],
+ y=result["balance"],
+ mode="lines",
+ name="Balance",
+ line=dict(color="green")
+)
+
+layout = go.Layout(
+ title="Évolution du portefeuille",
+ xaxis_title="Date",
+ yaxis_title="Balance (USDT)",
+ template="plotly_white"
+)
+
+fig = go.Figure(data=[balance_trace], layout=layout)
+fig.write_html("balance_plot.html", include_plotlyjs="cdn")
+
+# === GÉNÉRATION DU RAPPORT HTML ===
+template_str = """
+
+
+
+
+ Rapport de Backtest
+
+
+
+ Rapport de Backtest
+ Période : {{ start }} → {{ end }}
+
+ | Métrique | Valeur |
|---|
+ {% for key, value in metrics.items() %}
+ | {{ key }} | {{ value }} |
+ {% endfor %}
+
+ Évolution de la balance
+
+
+
+"""
+
+metrics = {
+ "Trading Mode": summary.get("strategy", ""),
+ "Total Trades": summary.get("total_trades", 0),
+ "Final Balance": f"{final_balance:.2f} USDT",
+ "Profit (%)": f"{summary.get('profit_total_pct', 0):.2f}%",
+ "CAGR": f"{summary.get('cagr', 0):.2f}%",
+ "Sharpe": summary.get("sharpe", ""),
+ "Sortino": summary.get("sortino", ""),
+ "SQN": summary.get("sqn", ""),
+ "Calmar": summary.get("calmar", ""),
+ "Best Pair": summary.get("best_pair", ""),
+ "Worst Pair": summary.get("worst_pair", ""),
+ "Max Drawdown": summary.get("max_drawdown", ""),
+}
+
+template = Template(template_str)
+html_content = template.render(start=start, end=end, metrics=metrics)
+
+with open("backtest_report.html", "w") as f:
+ f.write(html_content)
+
+print("✅ Rapport généré : backtest_report.html")
diff --git a/tools/statistique/vue_3d.py b/tools/statistique/vue_3d.py
new file mode 100644
index 0000000..f4931a0
--- /dev/null
+++ b/tools/statistique/vue_3d.py
@@ -0,0 +1,47 @@
+import matplotlib.pyplot as plt
+import numpy as np
+from mpl_toolkits.mplot3d import Axes3D
+
+# Labels
+x_labels = ['B5', 'B4', 'B3', 'B2', 'B1', 'N0', 'H1', 'H2', 'H3', 'H4', 'H5']
+y_labels = ['B5', 'B4', 'B3', 'B2', 'B1', 'N0', 'H1', 'H2', 'H3', 'H4', 'H5']
+
+# Data
+data = np.array([
+ [40.3, 52.1, 60.2, 68.6, 86.3, 76.5, 75.1, 83.5, 88.7, 96.3, 91.6],
+ [26.6, 39.4, 48.1, 57.0, 76.7, 82.4, 79.6, 82.4, 91.8, 86.6, 87.8],
+ [21.5, 27.7, 42.7, 53.2, 70.9, 76.6, 80.8, 79.4, 88.3, 88.0, 87.8],
+ [15.1, 20.8, 32.9, 46.9, 59.1, 79.6, 82.5, 79.6, 80.8, 87.0, 85.5],
+ [15.7, 15.4, 21.9, 29.4, 48.3, 66.6, 76.4, 77.8, 80.8, 83.5, 81.4],
+ [15.0, 10.5, 20.1, 24.5, 36.9, 59.9, 68.8, 74.1, 77.7, 83.0, 75.7],
+ [14.8, 10.7, 15.1, 21.0, 30.1, 47.3, 59.2, 70.4, 76.1, 82.7, 82.6],
+ [7.9, 8.6, 13.6, 20.6, 27.0, 39.5, 55.2, 68.9, 69.0, 78.4, 83.4],
+ [9.2, 6.2, 12.6, 21.7, 23.6, 33.1, 42.3, 57.8, 66.0, 71.9, 81.9],
+ [4.8, 13.1, 16.3, 14.5, 19.5, 26.4, 35.6, 49.2, 63.2, 68.2, 71.6],
+ [17.9, 25.7, 20.8, 17.8, 8.7, 18.5, 32.3, 37.7, 49.3, 59.8, 61.7]
+])
+
+# Meshgrid for 3D plotting
+x = np.arange(len(x_labels))
+y = np.arange(len(y_labels))
+x, y = np.meshgrid(x, y)
+
+# Plot
+fig = plt.figure(figsize=(12, 8))
+ax = fig.add_subplot(111, projection='3d')
+surf = ax.plot_surface(x, y, data, cmap='viridis', edgecolor='k')
+
+# Axis formatting
+ax.set_xticks(np.arange(len(x_labels)))
+ax.set_yticks(np.arange(len(y_labels)))
+ax.set_xticklabels(x_labels)
+ax.set_yticklabels(y_labels)
+ax.set_xlabel("mid_smooth_deriv1_144_bin")
+ax.set_ylabel("sma144_diff_bin")
+ax.set_zlabel("Probabilité de hausse (%)")
+ax.set_title("Probabilité de hausse pour futur_percent_3h en 3D")
+
+fig.colorbar(surf, shrink=0.5, aspect=10)
+
+plt.tight_layout()
+plt.show()