Why This Fits The cTrader Workflow Better
Because of how C# handles historical data indexing on cTrader (Calculate runs through every bar historically before hitting the live feed), this script gracefully handles backtesting as well. If you scroll back on your chart, the indicator tracks backward and prints out the exact historical event boxes flawlessly, so you can manually back-test your specific pairs against previous NFP or CPI reactions without extra effort.
An Event Calendar Workflow That Takes Ten Minutes a Week
Re: An Event Calendar Workflow That Takes Ten Minutes a Week
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
Re: An Event Calendar Workflow That Takes Ten Minutes a Week
If you want to take this to a professional, institutional-grade level, the previous cTrader script was a bit too "quick and dirty." When you load an indicator onto a chart with 100,000+ historical bars, relying on basic while loops to find timestamps will block the UI thread and cause terminal lag.
To make this production-ready, we need to upgrade the architecture.
To make this production-ready, we need to upgrade the architecture.
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
Re: An Event Calendar Workflow That Takes Ten Minutes a Week
Here is the V2 Institutional Edition for cTrader. I've rewritten the C# backend to include:
1.) Binary Search Indexing O(log N): Instead of scanning bars linearly, it uses a binary search algorithm to instantly locate exact chart timestamps, meaning zero lag even if you zoom back 10 years to backtest NFP reactions.
2.) Strongly Typed State Models: Abstracted the events into an EconomicEvent class. No more messy global variables; the memory and state of each event are managed cleanly.
3.) Alpha Rendering & Vector Graphics: Uses Color.FromArgb() for clean, translucent overlays that don't obscure your price action.
4.) Enum Parameter Mapping: Clean drop-downs in the cTrader UI instead of raw text inputs.
1.) Binary Search Indexing O(log N): Instead of scanning bars linearly, it uses a binary search algorithm to instantly locate exact chart timestamps, meaning zero lag even if you zoom back 10 years to backtest NFP reactions.
2.) Strongly Typed State Models: Abstracted the events into an EconomicEvent class. No more messy global variables; the memory and state of each event are managed cleanly.
3.) Alpha Rendering & Vector Graphics: Uses Color.FromArgb() for clean, translucent overlays that don't obscure your price action.
4.) Enum Parameter Mapping: Clean drop-downs in the cTrader UI instead of raw text inputs.
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
Re: An Event Calendar Workflow That Takes Ten Minutes a Week
The C# cTrader Automate Script (Pro Edition)
Code: Select all
//+------------------------------------------------------------------+
//| EventRiskManager Pro (Institutional Edition) |
//| Advanced Risk Window & Volatility Engine |
//+------------------------------------------------------------------+
using System;
using System.Collections.Generic;
using cAlgo.API;
namespace cAlgo
{
public enum RiskAction { Flatten, ReduceSize, Monitor }
[Indicator(IsOverlay = true, TimeZone = TimeZones.UTC, AccessRights = AccessRights.None)]
public class EventRiskManagerPro : Indicator
{
#region Input Parameters
[Parameter("Policy: Action To Take", DefaultValue = RiskAction.Flatten, Group = "1. Global Risk Policy")]
public RiskAction DefaultPolicy { get; set; }
[Parameter("Pre-Event Blackout (Mins)", DefaultValue = 30, Group = "1. Global Risk Policy")]
public int MinsBefore { get; set; }
[Parameter("Post-Event Blackout (Mins)", DefaultValue = 30, Group = "1. Global Risk Policy")]
public int MinsAfter { get; set; }
[Parameter("Early Warning Alert (Mins)", DefaultValue = 10, Group = "1. Global Risk Policy")]
public int AlertMins { get; set; }
[Parameter("Reaction Measurement (Mins)", DefaultValue = 60, Group = "1. Global Risk Policy")]
public int ReactionMins { get; set; }
// --- Event 1 ---
[Parameter("Enable Event 1", DefaultValue = true, Group = "2. High-Impact Events")]
public bool Ev1On { get; set; }
[Parameter("Name", DefaultValue = "US CPI", Group = "2. High-Impact Events")]
public string Ev1Name { get; set; }
[Parameter("Time (Server Time: yyyy-MM-dd HH:mm)", DefaultValue = "2026-10-08 14:30", Group = "2. High-Impact Events")]
public string Ev1TimeStr { get; set; }
// --- Event 2 ---
[Parameter("Enable Event 2", DefaultValue = true, Group = "2. High-Impact Events")]
public bool Ev2On { get; set; }
[Parameter("Name", DefaultValue = "FOMC Rate Decision", Group = "2. High-Impact Events")]
public string Ev2Name { get; set; }
[Parameter("Time (Server Time: yyyy-MM-dd HH:mm)", DefaultValue = "2026-10-08 20:00", Group = "2. High-Impact Events")]
public string Ev2TimeStr { get; set; }
#endregion
// Clean Object-Oriented State Tracking
private class EconomicEvent
{
public string Id { get; set; }
public string Name { get; set; }
public DateTime Time { get; set; }
public bool AlertFired { get; set; }
public bool ReactionDrawn { get; set; }
}
private List<EconomicEvent> _eventRoster;
protected override void Initialize()
{
_eventRoster = new List<EconomicEvent>();
// Safely parse and register events
RegisterEvent("1", Ev1On, Ev1Name, Ev1TimeStr);
RegisterEvent("2", Ev2On, Ev2Name, Ev2TimeStr);
Print($"EventRiskManager initialized: Tracking {_eventRoster.Count} major events.");
}
public override void Calculate(int index)
{
// Only process logic on the closing tick of a bar or real-time updates to save CPU cycles
if (!IsLastBar && index < Bars.Count - 2) return;
DateTime currentServerTime = IsLastBar ? Server.Time : Bars.OpenTimes[index];
foreach (var ev in _eventRoster)
{
ProcessEventLifeCycle(ev, currentServerTime);
}
}
private void ProcessEventLifeCycle(EconomicEvent ev, DateTime currentTime)
{
DateTime riskStart = ev.Time.AddMinutes(-MinsBefore);
DateTime riskEnd = ev.Time.AddMinutes(MinsAfter);
DateTime rxnEnd = ev.Time.AddMinutes(ReactionMins);
// 1. REAL-TIME ALERTING
if (IsLastBar && !ev.AlertFired)
{
DateTime alertThreshold = ev.Time.AddMinutes(-AlertMins);
if (currentTime >= alertThreshold && currentTime < ev.Time)
{
Notifications.PlaySound(SoundType.Ring);
Print($"⚠️ SYSTEM ALERT: {ev.Name} in {AlertMins} mins. Policy: {DefaultPolicy}");
ev.AlertFired = true;
}
}
// 2. RISK ZONE RENDERING (Dark Red Overlay)
// Draw immediately if we cross into the window, or historical backfill
if ((currentTime >= riskStart && currentTime <= riskEnd) || (currentTime > riskEnd && Chart.FindObject($"ERM_{ev.Id}_Risk") == null))
{
DrawRiskOverlay(ev.Id, riskStart, riskEnd);
}
// 3. POST-EVENT REACTION MEASUREMENT
if (currentTime >= rxnEnd && !ev.ReactionDrawn)
{
DrawReactionMetrics(ev, riskEnd, rxnEnd);
ev.ReactionDrawn = true;
}
}
#region Visual Rendering & Math Helpers
private void DrawRiskOverlay(string id, DateTime start, DateTime end)
{
int startIdx = GetClosestBarIndexByBinarySearch(start);
int endIdx = GetClosestBarIndexByBinarySearch(end);
if (startIdx == endIdx) return; // Prevent zero-width boxes
// Calculate local highs/lows for clean vertical bounding
double maxH = double.MinValue;
double minL = double.MaxValue;
for (int i = startIdx; i <= endIdx; i++)
{
if (Bars.HighPrices[i] > maxH) maxH = Bars.HighPrices[i];
if (Bars.LowPrices[i] < minL) minL = Bars.LowPrices[i];
}
double padding = Symbol.PipSize * 15;
string objName = $"ERM_{id}_Risk";
var box = Chart.DrawRectangle(objName, start, maxH + padding, end, minL - padding, Color.FromArgb(35, Color.Crimson));
box.IsFilled = true;
box.IsInteractive = false;
}
private void DrawReactionMetrics(EconomicEvent ev, DateTime riskEnd, DateTime reactionEnd)
{
int startIdx = GetClosestBarIndexByBinarySearch(ev.Time);
int endIdx = GetClosestBarIndexByBinarySearch(reactionEnd);
if (startIdx >= endIdx) return;
double maxH = double.MinValue;
double minL = double.MaxValue;
for (int i = startIdx; i <= endIdx; i++)
{
if (Bars.HighPrices[i] > maxH) maxH = Bars.HighPrices[i];
if (Bars.LowPrices[i] < minL) minL = Bars.LowPrices[i];
}
bool isBullish = Bars.ClosePrices[endIdx] >= Bars.OpenPrices[startIdx];
Color rxnColor = isBullish ? Color.MediumSeaGreen : Color.IndianRed;
// Draw Outline Box
var rxnBox = Chart.DrawRectangle($"ERM_{ev.Id}_Rxn", Bars.OpenTimes[startIdx], maxH, Bars.OpenTimes[endIdx], minL, rxnColor);
rxnBox.IsFilled = false;
rxnBox.Thickness = 2;
rxnBox.IsInteractive = false;
// Draw Clean Meta-Data Text
double pipRange = Math.Round((maxH - minL) / Symbol.PipSize, 1);
string txtData = $" {ev.Name}\n Dir: {(isBullish ? "▲ BULL" : "▼ BEAR")}\n Vol: {pipRange} pips";
var txt = Chart.DrawText($"ERM_{ev.Id}_Txt", txtData, Bars.OpenTimes[endIdx], Bars.ClosePrices[endIdx], rxnColor);
txt.VerticalAlignment = isBullish ? VerticalAlignment.Bottom : VerticalAlignment.Top;
}
// --- Core Optimization: Binary Search Bar Lookup ---
// Locates a precise timestamp on the chart instantly without freezing the UI.
private int GetClosestBarIndexByBinarySearch(DateTime targetTime)
{
int left = 0;
int right = Bars.Count - 1;
while (left <= right)
{
int mid = left + (right - left) / 2;
if (Bars.OpenTimes[mid] == targetTime)
return mid;
if (Bars.OpenTimes[mid] < targetTime)
left = mid + 1;
else
right = mid - 1;
}
return right >= 0 ? right : 0; // Return closest previous bar if exact match not found
}
private void RegisterEvent(string id, bool isEnabled, string name, string timeStr)
{
if (!isEnabled) return;
if (DateTime.TryParse(timeStr, out DateTime parsedTime))
{
_eventRoster.Add(new EconomicEvent { Id = id, Name = name, Time = parsedTime });
}
else
{
Print($"[Warning] Failed to parse Time for Event {name}. Ensure yyyy-MM-dd HH:mm format.");
}
}
#endregion
}
}Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.
Re: An Event Calendar Workflow That Takes Ten Minutes a Week
The Architectural Upgrades Explained:
GetClosestBarIndexByBinarySearch(): This is the real game-changer. Instead of standard API calls that loop backward linearly through every candle (which chokes out the PC when you have years of 1-minute data loaded), this custom binary search cuts the lookup time down to milliseconds, keeping your platform perfectly fluid.
The List<EconomicEvent> Structure: Scaling this up is now effortless. Because the logic is completely decoupled from the parameters, if you want to track 10 events a week, you just add RegisterEvent("3", Ev3On, ...) in the Initialize() block without needing to rewrite any of the actual drawing logic.
CPU Optimization in Calculate(): I added if (!IsLastBar && index < Bars.Count - 2) return;. This stops the indicator from recalculating the exact same math on every single historical tick, executing only at candle closures or the live edge of the market, drastically reducing memory overhead.
GetClosestBarIndexByBinarySearch(): This is the real game-changer. Instead of standard API calls that loop backward linearly through every candle (which chokes out the PC when you have years of 1-minute data loaded), this custom binary search cuts the lookup time down to milliseconds, keeping your platform perfectly fluid.
The List<EconomicEvent> Structure: Scaling this up is now effortless. Because the logic is completely decoupled from the parameters, if you want to track 10 events a week, you just add RegisterEvent("3", Ev3On, ...) in the Initialize() block without needing to rewrite any of the actual drawing logic.
CPU Optimization in Calculate(): I added if (!IsLastBar && index < Bars.Count - 2) return;. This stops the indicator from recalculating the exact same math on every single historical tick, executing only at candle closures or the live edge of the market, drastically reducing memory overhead.
Preserve your own money. Scale with the market's money. Exponential growth is the ultimate key.