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Alvin3y1 commited on 14 days ago

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0bde50b

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1 Parent(s): 3842323

Update app.py

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Files changed (1) hide show

app.py +25 -25

app.py CHANGED Viewed

@@ -29,7 +29,7 @@ HTML_PAGE = f"""
 <!DOCTYPE html>
 <html>
 <head>
-    <title>BTC-USD Integral Analysis</title>
     <script src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>
     <style>
         body {{ margin: 0; padding: 0; background-color: #0e0e0e; color: #ccc; font-family: sans-serif; overflow: hidden; }}
@@ -76,8 +76,8 @@ HTML_PAGE = f"""
                 <div id="vol-chart" class="chart"></div>
             </div>
             <div class="col">
-                <!-- Bottom Right: Normalized Integration -->
-                <div id="integral-chart" class="chart"></div>
             </div>
         </div>
     </div>
@@ -86,11 +86,11 @@ HTML_PAGE = f"""
         const priceDiv = document.getElementById('price-chart');
         const imbPercentDiv = document.getElementById('imb-percent-chart');
         const volDiv = document.getElementById('vol-chart');
-        const integDiv = document.getElementById('integral-chart');
         const statusDiv = document.getElementById('status');
-        let initPrice = false, initImbP = false, initVol = false, initInteg = false;
         const commonConfig = {{ responsive: true, displayModeBar: false }};
         const commonLayout = {{
@@ -113,7 +113,7 @@ HTML_PAGE = f"""
                     return;
                 }}
-                statusDiv.innerHTML = `Mid: <span class="${{data.mid >= data.prev_mid ? 'green' : 'red'}}">$${{data.mid.toLocaleString(undefined, {{minimumFractionDigits: 2}})}}</span> | Integral: ${{data.integral.last_val ? data.integral.last_val.toFixed(3) : 0}}`;
                 // 1. PRICE HISTORY
                 if (!initPrice) {{
@@ -139,24 +139,24 @@ HTML_PAGE = f"""
                 if (!initVol) {{ Plotly.newPlot(volDiv, tracesVol, layoutVol, commonConfig); initVol = true; }}
                 else {{ Plotly.react(volDiv, tracesVol, layoutVol, commonConfig); }}
-                // 4. NORMALIZED INTEGRAL (-1 to +1)
-                const layoutInteg = {{ ...commonLayout,
-                    title: '<b>Structural Bias (Normalized Integral)</b>',
                     xaxis: {{title: 'Distance ($)', gridcolor:'#222'}},
                     yaxis: {{title: 'Bias', range: [-1.1, 1.1], gridcolor:'#222', zeroline: true, zerolinecolor: '#fff'}}
                 }};
-                const traceInteg = {{
-                    x: data.integral.x,
-                    y: data.integral.y,
                     type: 'scatter',
                     mode: 'lines',
                     fill: 'tozeroy',
                     line: {{color: '#00bcd4', width: 2}} // Cyan
                 }};
-                if (!initInteg) {{ Plotly.newPlot(integDiv, [traceInteg], layoutInteg, commonConfig); initInteg = true; }}
-                else {{ Plotly.react(integDiv, [traceInteg], layoutInteg, commonConfig); }}
             }} catch (e) {{ console.error("Fetch error:", e); }}
         }}
@@ -241,7 +241,7 @@ async def handle_data(request):
     # --- Calculations ---
     imb_x, imb_y = [], []
-    integ_x, integ_y = [], []
     running_integral = 0
     if d_b_x and d_a_x:
@@ -264,24 +264,24 @@ async def handle_data(request):
             imb_x.append(s)
             imb_y.append(pct)
-            # 3. Normalized Integration
-            # We integrate the raw percentage.
             running_integral += pct
-            # We normalize using tanh.
-            # A cumulative pressure of 500% (e.g., 5 steps of 100% imbalance) -> tanh(500/scale)
-            # Scale factor of 1000 means "significant bias" is accumulated over ~10 steps of strong pressure
-            norm_integral = math.tanh(running_integral / 1000.0)
-            integ_x.append(s)
-            integ_y.append(norm_integral)
     return web.json_response({
         "mid": mid,
         "prev_mid": market_state['history'][-2]['p'] if len(market_state['history']) > 1 else mid,
         "imbalance_vol": { "dist_bids": d_b_x, "vol_bids": d_b_y, "dist_asks": d_a_x, "vol_asks": d_a_y },
         "imbalance_pct": { "x": imb_x, "y": imb_y },
-        "integral": { "x": integ_x, "y": integ_y, "last_val": integ_y[-1] if integ_y else 0 },
         "history": market_state['history']
     })
@@ -305,7 +305,7 @@ async def main():
     site = web.TCPSite(runner, '0.0.0.0', PORT)
     await site.start()
-    print(f"🚀 BTC-USD Integral Dashboard: http://localhost:{PORT}")
     await asyncio.Event().wait()
 if __name__ == "__main__":

 <!DOCTYPE html>
 <html>
 <head>
+    <title>BTC-USD Mean Pressure</title>
     <script src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>
     <style>
         body {{ margin: 0; padding: 0; background-color: #0e0e0e; color: #ccc; font-family: sans-serif; overflow: hidden; }}
                 <div id="vol-chart" class="chart"></div>
             </div>
             <div class="col">
+                <!-- Bottom Right: Average Pressure (Mean Integral) -->
+                <div id="mean-chart" class="chart"></div>
             </div>
         </div>
     </div>
         const priceDiv = document.getElementById('price-chart');
         const imbPercentDiv = document.getElementById('imb-percent-chart');
         const volDiv = document.getElementById('vol-chart');
+        const meanDiv = document.getElementById('mean-chart');
         const statusDiv = document.getElementById('status');
+        let initPrice = false, initImbP = false, initVol = false, initMean = false;
         const commonConfig = {{ responsive: true, displayModeBar: false }};
         const commonLayout = {{
                     return;
                 }}
+                statusDiv.innerHTML = `Mid: <span class="${{data.mid >= data.prev_mid ? 'green' : 'red'}}">$${{data.mid.toLocaleString(undefined, {{minimumFractionDigits: 2}})}}</span> | Avg Bias: ${{data.mean.last_val ? data.mean.last_val.toFixed(3) : 0}}`;
                 // 1. PRICE HISTORY
                 if (!initPrice) {{
                 if (!initVol) {{ Plotly.newPlot(volDiv, tracesVol, layoutVol, commonConfig); initVol = true; }}
                 else {{ Plotly.react(volDiv, tracesVol, layoutVol, commonConfig); }}
+                // 4. MEAN PRESSURE (-1 to +1)
+                const layoutMean = {{ ...commonLayout,
+                    title: '<b>Average Pressure (Integral / Steps)</b>',
                     xaxis: {{title: 'Distance ($)', gridcolor:'#222'}},
                     yaxis: {{title: 'Bias', range: [-1.1, 1.1], gridcolor:'#222', zeroline: true, zerolinecolor: '#fff'}}
                 }};
+                const traceMean = {{
+                    x: data.mean.x,
+                    y: data.mean.y,
                     type: 'scatter',
                     mode: 'lines',
                     fill: 'tozeroy',
                     line: {{color: '#00bcd4', width: 2}} // Cyan
                 }};
+                if (!initMean) {{ Plotly.newPlot(meanDiv, [traceMean], layoutMean, commonConfig); initMean = true; }}
+                else {{ Plotly.react(meanDiv, [traceMean], layoutMean, commonConfig); }}
             }} catch (e) {{ console.error("Fetch error:", e); }}
         }}
     # --- Calculations ---
     imb_x, imb_y = [], []
+    mean_x, mean_y = [], []
     running_integral = 0
     if d_b_x and d_a_x:
             imb_x.append(s)
             imb_y.append(pct)
+            # 3. Mean Pressure
+            # Integral / Number of Steps
             running_integral += pct
+            step_count = i + 1
+            mean_pressure = running_integral / step_count
+            # Normalize to -1..1 (divide by 100%)
+            norm_mean = mean_pressure / 100.0
+            mean_x.append(s)
+            mean_y.append(norm_mean)
     return web.json_response({
         "mid": mid,
         "prev_mid": market_state['history'][-2]['p'] if len(market_state['history']) > 1 else mid,
         "imbalance_vol": { "dist_bids": d_b_x, "vol_bids": d_b_y, "dist_asks": d_a_x, "vol_asks": d_a_y },
         "imbalance_pct": { "x": imb_x, "y": imb_y },
+        "mean": { "x": mean_x, "y": mean_y, "last_val": mean_y[-1] if mean_y else 0 },
         "history": market_state['history']
     })
     site = web.TCPSite(runner, '0.0.0.0', PORT)
     await site.start()
+    print(f"🚀 BTC-USD Mean Pressure Dashboard: http://localhost:{PORT}")
     await asyncio.Event().wait()
 if __name__ == "__main__":