// 2. API ROUTER: Intercept the Parameter Update POST request
if (context.Request.Url.AbsolutePath.Equals("/update-params", StringComparison.OrdinalIgnoreCase))
{
if (context.Request.HttpMethod == "POST")
{
// HttpListener automatically parses URL parameters into a NameValueCollection
string actStr = context.Request.QueryString["act"];
string distStr = context.Request.QueryString["dist"];
// Validate that the incoming data can be parsed into numerical doubles
if (double.TryParse(actStr, out double newAct) && double.TryParse(distStr, out double newDist))
{
// THREAD MARSHALING: Safely assign the new values on the main execution thread
BeginInvokeOnMainThread(() =>
{
ActivationProfit = newAct;
TrailingDistance = newDist;
Print($"[Web Server] Remote Update -> Activation: {newAct:C2} | Trail: {newDist:C2}");
});
response.StatusCode = 200;
byte[] okBytes = Encoding.UTF8.GetBytes("Parameters Updated");
await response.OutputStream.WriteAsync(okBytes, 0, okBytes.Length);
}
else
{
response.StatusCode = 400; // Bad Request (Invalid numbers)
}
}
else
{
response.StatusCode = 405; // Method Not Allowed
}
return; // Exit here so it doesn't try to serve the HTML file
}
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
Inside your AppendBatchedTradesToHtmlAsync method, inject the CSS styling and the HTML control panel. Place the HTML just below the header table, but above the chart container.
Query String Parsing (context.Request.QueryString): By passing the data in the URL rather than the HTTP Body, the .NET HttpListener automatically parses the key/value pairs into a native NameValueCollection. This completely eliminates the need to manually read InputStream byte streams and deserialize JSON on the background thread.
Virtual DOM Safety: Notice that the <div class='control-panel'> is not wrapped in an ID like trade-body or summary-container. Because the 5-second seamless auto-refresh script is explicitly programmed to only replace those specific IDs, your control panel is completely immune to the polling cycle. If you are typing a new value into the box, the background table will quietly update without stealing your keyboard focus or erasing what you are typing.
Thread Synchronization (BeginInvokeOnMainThread): While assigning a C# double is technically an atomic operation in memory, modifying algorithmic properties from a background thread while the main loop is simultaneously reading them to calculate trailing stop logic is a concurrency anti-pattern. Funneling the assignment through the main thread guarantees the math engine uses the updated numbers on the exact tick the assignment completes.
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
To display real-time floating positions alongside your history, we must solve a critical hardware bottleneck: Disk I/O.
Your current architecture only updates the HTML file on your SSD when a trade closes. If we tried to write live floating PnL to the hard drive every 5 seconds, it would hammer your SSD with thousands of unnecessary write cycles and potentially freeze the cTrader engine.
The solution is In-Memory Payload Injection. We keep the HTML file on disk static. When your phone requests the page via the local web server, the C# bot reads the static file, instantly injects the live open positions into the HTML string in memory, and sends the combined result to your phone.
Here is the complete C# architecture to add live position tracking to your dashboard:
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
We will use your existing OnTimer() method to snapshot the active positions and live account equity every 500 milliseconds, storing the HTML strings safely in RAM.
Update your ProcessHttpRequestAsync method. Right after it reads the static HTML file from the hard drive, we intercept the string and perform the injection before dispatching it to the phone.
Update AppendBatchedTradesToHtmlAsync. When the bot generates a new isNewFile == true document at the start of the month, we must add the UI skeleton for the live table.
// ... (Inside the isNewFile block, right after the Control Panel HTML) ...
htmlDoc.AppendLine("<h3 style='color:#333; margin-bottom:5px;'>🟢 Live Floating Positions</h3>");
htmlDoc.AppendLine("<table style='margin-bottom: 25px;'><thead><tr>");
htmlDoc.AppendLine("<th>Ticket</th><th>Open Time</th><th>Type</th><th>Size</th><th>Item</th><th>Entry Price</th><th>Current P/L</th>");
// Notice the empty tbody with the specific ID. It stays empty on the hard drive.
htmlDoc.AppendLine("</tr></thead><tbody id='live-positions-body'></tbody></table>");
htmlDoc.AppendLine("<h3 style='color:#333; margin-bottom:5px;'>📓 Trade History</h3>");
htmlDoc.AppendLine("<table id='tradesTable'><thead><tr>");
// ... (Your existing History Table headers and logic continue here)
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
Finally, update the JavaScript virtual DOM parser inside BuildSeamlessDashboardJavaScript() to extract and replace the new live table alongside the history table.
// ... Inside the fetchLiveUpdates() function ...
const parser = new DOMParser();
const virtualDoc = parser.parseFromString(htmlText, 'text/html');
// 1. Extract and update the History Table
const newTbody = virtualDoc.getElementById('trade-body');
if (newTbody) document.getElementById('trade-body').innerHTML = newTbody.innerHTML;
// 2. Extract and update the Live Positions Table
const newLiveTbody = virtualDoc.getElementById('live-positions-body');
if (newLiveTbody) document.getElementById('live-positions-body').innerHTML = newLiveTbody.innerHTML;
// 3. Extract and update the Summary Block
const newSummary = virtualDoc.getElementById('summary-container');
if (newSummary) document.getElementById('summary-container').innerHTML = newSummary.innerHTML;
// Recalculate the chart...
updateChartData(document);
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
Graceful Degradation: Because the <tbody id='live-positions-body'></tbody> exists in the raw HTML string when saved to the hard drive, opening the file directly from Windows Explorer (instead of via your local Wi-Fi server) won't break the page. It will simply render the history and show an empty table for live positions, preserving the integrity of your permanent records.
Decoupled Workloads: OnTimer() runs on the main thread and builds the HTML string using lightning-fast C# properties. The HTTP server runs on a background thread and performs a simple string.Replace(). This architecture guarantees that even if 5 phones connect to your local web server simultaneously, the cTrader execution engine will experience exactly zero lag.
Visual Continuity: Because the JavaScript Fetch API performs the updates quietly in the background, you can stare at the dashboard on your phone and literally watch the Current P/L numbers jump up and down in real-time, just like the native cTrader terminal, with absolutely no screen flickering or page reloads.
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
