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Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 8:35 pm
by LondonScalper
September was a good month to run this because AUDUSD actually moved, so I opened a standard account next to my raw one at the same broker and traded both side by side.

Rules: same entries, same size (0.5 lots), taken within a second of each other using two terminals. Only AUDUSD. Sessions were mainly 00:30 to 03:00 London for the Australian morning and 07:00 to 10:00 for London. 30 calendar days, 118 paired tickets.

Raw account: average spread at click 0.24 pips, plus commission. All-in averaged roughly 0.9 pips per round trip once I converted commission to pips at 0.5 lots.

Standard account: no commission, average spread at click 1.21 pips.

So on paper the raw account was cheaper by about 0.3 pips per trade, which over 118 tickets came to around 35 pips. At 0.5 lots that is worth having, but it isn't life-changing.

The more interesting part was the Asian session. Between 00:30 and 01:30 the standard spread sometimes stayed above 1.6 for minutes at a time, while the raw spread hovered at 0.3 to 0.5. My cost gap in that hour was nearly double the London gap.

Fill quality, measured as clicked price versus filled price, showed no difference I could separate from noise.

I'm closing the standard account. For someone who trades AUDUSD only in London hours with small size the difference would matter much less.

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:07 pm
by PTScalper
LondonScalper wrote: Sun Oct 04, 2026 8:35 pm September was a good month to run this because AUDUSD actually moved, so I opened a standard account next to my raw one at the same broker and traded both side by side.

Rules: same entries, same size (0.5 lots), taken within a second of each other using two terminals. Only AUDUSD. Sessions were mainly 00:30 to 03:00 London for the Australian morning and 07:00 to 10:00 for London. 30 calendar days, 118 paired tickets.

Raw account: average spread at click 0.24 pips, plus commission. All-in averaged roughly 0.9 pips per round trip once I converted commission to pips at 0.5 lots.

Standard account: no commission, average spread at click 1.21 pips.

So on paper the raw account was cheaper by about 0.3 pips per trade, which over 118 tickets came to around 35 pips. At 0.5 lots that is worth having, but it isn't life-changing.

The more interesting part was the Asian session. Between 00:30 and 01:30 the standard spread sometimes stayed above 1.6 for minutes at a time, while the raw spread hovered at 0.3 to 0.5. My cost gap in that hour was nearly double the London gap.

Fill quality, measured as clicked price versus filled price, showed no difference I could separate from noise.

I'm closing the standard account. For someone who trades AUDUSD only in London hours with small size the difference would matter much less.
Hi LondonScalper,

This is an incredibly valuable empirical breakdown. Running a side-by-side test across 118 tickets on two terminals provides the exact kind of hard data that cuts through broker marketing.

Your conclusion to close the standard account is spot on, and your data highlights a few critical realities about market microstructure and execution costs that many retail traders overlook.

The Compounding Cost of the Spread Gap

While 35 pips over 118 trades (roughly $175 at 0.5 lots) might not seem life-changing in a single month, it represents a massive drag on a system's mathematical expectancy. If you scale your size up to full standard lots, or compound that 0.3-pip difference over 1,500 trades in a year, you are essentially paying a heavy premium just to avoid seeing a separate commission line item. For any strategy relying on tight price action setups or scalping on lower timeframes, giving up 0.3 pips per round trip can easily be the difference between a profitable system and a breakeven one.

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:08 pm
by PTScalper
The Asian Session Markup

Your observation about the 00:30 to 01:30 London window is the most revealing part of the test. The Sydney open and post-rollover period is notorious for thin liquidity. However, the data shows exactly how brokers handle this:

The raw account (0.3 to 0.5 pips) reflects the actual, slightly widened interbank market.

The standard account (1.6+ pips) reflects the broker aggressively widening their synthetic markup to protect themselves during low-liquidity hours.

If you are running any automated execution scripts, or placing limit orders based on 15-minute chart structure during the Asian session, a 1.6 pip spread is a structural hazard. It causes phantom stop-outs—where your stop is triggered by the widened ask price even though the actual market structure never broke—and missed limit entries that would have executed perfectly on a raw feed.

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:08 pm
by PTScalper
Execution and Fill Quality

The fact that you experienced identical fill quality and slippage is actually a positive signal about your broker's infrastructure. It implies they are routing both account types through the exact same execution bridge and liquidity pool. The standard account isn't necessarily being pushed to a slower B-book queue; it is simply receiving the same feed with a synthetic spread markup applied at the server level before it reaches your terminal.

Ultimately, your test proves that standard accounts are a trap for active traders. They are heavily marketed to beginners because the "zero commission" label is psychologically appealing, but as your data shows, the hidden cost in the spread—especially during off-peak hours—heavily outweighs the transparent commission of a raw environment.

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:09 pm
by PTScalper
To build a tool that visualizes the exact phenomena from your test, this Pine Script tracks the real-time spread, converts your raw account commission into a pip-equivalent cost, and calculates the true "All-in Cost" per trade.

Because TradingView only supplies ask and bid data for live bars, this operates as a real-time monitoring dashboard and session tracker. It highlights the specific Asian and London sessions you tested so you can monitor the exact moments liquidity thins out and synthetic markups spike.

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:09 pm
by PTScalper
Pine Script version 1.0

Code: Select all

//@version=5
indicator("True Execution Cost & Session Analyzer", overlay=false, precision=2)

// =========================================================================
// INPUTS
// =========================================================================
grp_costs = "Execution Cost Settings"
comm_rt_usd = input.float(6.0, title="Round Trip Commission per Lot ($)", group=grp_costs, step=0.5)
pip_value = input.float(10.0, title="Pip Value per Lot ($)", group=grp_costs, tooltip="Leave at $10 for USD quote pairs (AUDUSD, EURUSD, etc.)")

grp_sessions = "Session Highlights (London Time)"
session_asia = input.session("0030-0300", title="Asian Session", group=grp_sessions)
session_london = input.session("0700-1000", title="London Session", group=grp_sessions)
tz = input.string("Europe/London", title="Timezone", group=grp_sessions)

// =========================================================================
// CALCULATIONS
// =========================================================================
// 1. Convert Commission to Pips
// Example: $6.00 commission / $10.00 pip value = 0.6 pips cost round trip
comm_pips = comm_rt_usd / pip_value

// 2. Calculate Real-Time Spread in Pips
// syminfo.mintick is typically 0.00001 on AUDUSD. Multiplying by 10 gives standard pips.
pip_multiplier = syminfo.mintick * 10
current_spread = (ask - bid) / pip_multiplier

// 3. Calculate All-In Cost
all_in_cost = current_spread + comm_pips

// =========================================================================
// SESSION HIGHLIGHTING
// =========================================================================
in_asia = time(timeframe.period, session_asia, tz)
in_london = time(timeframe.period, session_london, tz)

bgcolor(in_asia ? color.new(color.blue, 90) : na, title="Asian Session Background")
bgcolor(in_london ? color.new(color.red, 90) : na, title="London Session Background")

// =========================================================================
// PLOTTING
// =========================================================================
// Using historical close differences as a fallback visualization for historical bars, 
// but emphasizing that true spread only populates on live data feeds.
plot(current_spread, title="Raw Spread (Pips)", color=color.gray, linewidth=1, style=plot.style_line)
plot(all_in_cost, title="All-In Cost (Pips)", color=color.orange, linewidth=2, style=plot.style_line)

// =========================================================================
// DASHBOARD TABLE
// =========================================================================
var table dashboard = table.new(position.top_right, 2, 4, border_width=1, border_color=color.gray)

if barstate.islast
    // Headers
    table.cell(dashboard, 0, 0, "Metric", text_color=color.white, bgcolor=color.rgb(40, 40, 40))
    table.cell(dashboard, 1, 0, "Cost (Pips)", text_color=color.white, bgcolor=color.rgb(40, 40, 40))
    
    // Spread
    table.cell(dashboard, 0, 1, "Real-Time Spread", text_color=color.white, bgcolor=color.rgb(60, 60, 60))
    table.cell(dashboard, 1, 1, str.tostring(current_spread, "#.##"), text_color=color.white, bgcolor=color.rgb(60, 60, 60))
    
    // Commission Equivalent
    table.cell(dashboard, 0, 2, "Commission (RT)", text_color=color.white, bgcolor=color.rgb(60, 60, 60))
    table.cell(dashboard, 1, 2, str.tostring(comm_pips, "#.##"), text_color=color.white, bgcolor=color.rgb(60, 60, 60))
    
    // Total Cost
    table.cell(dashboard, 0, 3, "Total All-In Cost", text_color=color.white, bgcolor=color.new(color.orange, 30))
    table.cell(dashboard, 1, 3, str.tostring(all_in_cost, "#.##"), text_color=color.white, bgcolor=color.new(color.orange, 30))

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:10 pm
by PTScalper
Configuration and Use

Setup: Apply this to your 1-minute or 5-minute AUDUSD chart. Enter your broker's exact round-trip commission per standard lot in the indicator settings.

Cost Comparison: If you apply this to your raw account feed, the orange line will show your true breakeven cost in pips. If you apply it to a standard account feed (by changing the ticker symbol in TradingView to the broker's standard variant, if they provide one), you can set the commission input to $0 and directly compare the spread line against the raw account's all-in line.

Data Limitation: The ask and bid variables in Pine Script only track real-time tick data. When you first load the indicator, the lines and table will only draw forward from the current live bar. It will not render historical spreads retroactively because TradingView's historical servers only store OHLC data, not historical bid/ask order book data.

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:10 pm
by PTScalper
Here is the exact equivalent built for cTrader Automate (cAlgo) in C#.

Because you are a C#/.NET developer, you will immediately notice that cTrader handles historical data differently than TradingView. Standard historical bars in cTrader (Bars) do not store the historical bid/ask spread; they only store OHLC. To prevent the indicator from drawing a flat, inaccurate line across all historical data, this script uses if (!IsLastBar) return; so it only plots forward dynamically on live incoming ticks.

Instead of background color shading (which requires rendering heavy chart objects in cTrader), this version uses Chart.DrawStaticText to render a clean HUD in the top right corner that tracks the metrics and flags whether you are currently inside your target Asian or London test windows.

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:11 pm
by PTScalper
cTrader Custom Indicator: True Execution Cost

Code: Select all

using System;
using cAlgo.API;
using cAlgo.API.Indicators;
using cAlgo.API.Internals;

namespace cAlgo
{
    [Indicator(IsOverlay = false, TimeZone = TimeZones.UTC, AccessRights = AccessRights.None)]
    public class TrueExecutionCost : Indicator
    {
        [Parameter("RT Commission per Lot ($)", DefaultValue = 6.0, Group = "Costs")]
        public double Commission { get; set; }

        [Parameter("Pip Value per Lot ($)", DefaultValue = 10.0, Group = "Costs")]
        public double PipValue { get; set; }

        [Output("Raw Spread", LineColor = "Gray", PlotType = PlotType.Line, Thickness = 1)]
        public IndicatorDataSeries RawSpread { get; set; }

        [Output("All-In Cost", LineColor = "Orange", PlotType = PlotType.Line, Thickness = 2)]
        public IndicatorDataSeries AllInCost { get; set; }

        protected override void Initialize()
        {
            // Initializes cleanly; all heavy lifting is done on incoming ticks
        }

        public override void Calculate(int index)
        {
            // Real-time spread is only available for the live market.
            // Returning early on historical bars prevents drawing a false, flat historical line.
            if (!IsLastBar) return;

            // 1. Convert Commission to Pips
            double commPips = Commission / PipValue;

            // 2. Calculate Real-Time Spread in Pips
            double currentSpread = (Symbol.Ask - Symbol.Bid) / Symbol.PipSize;

            // 3. Calculate All-In Cost
            double allInCost = currentSpread + commPips;

            // Plot values for the current bar
            RawSpread[index] = currentSpread;
            AllInCost[index] = allInCost;

            // 4. Update HUD Dashboard
            UpdateDashboard(currentSpread, commPips, allInCost);
        }

        private void UpdateDashboard(double spread, double comm, double totalCost)
        {
            // Uses the Chart's local time setting so the session logic aligns with your visual chart time
            DateTime chartTime = Bars.LastBar.OpenTime;
            string activeSession = GetActiveSession(chartTime);

            string dashboardText = "TRUE EXECUTION COST\n" +
                                   "---------------------------------\n" +
                                   $"Session Window   : {activeSession}\n" +
                                   $"Real-Time Spread : {Math.Round(spread, 2):F2} pips\n" +
                                   $"Commission (RT)  : {Math.Round(comm, 2):F2} pips\n" +
                                   $"Total All-In Cost: {Math.Round(totalCost, 2):F2} pips";

            Chart.DrawStaticText("CostDashboard", dashboardText, VerticalAlignment.Top, HorizontalAlignment.Right, Color.Orange);
        }

        private string GetActiveSession(DateTime chartTime)
        {
            TimeSpan timeOfDay = chartTime.TimeOfDay;

            // Your specific test windows (Assumes your cTrader chart is set to London/UK Time)
            TimeSpan asiaStart = new TimeSpan(0, 30, 0);
            TimeSpan asiaEnd = new TimeSpan(3, 0, 0);

            TimeSpan londonStart = new TimeSpan(7, 0, 0);
            TimeSpan londonEnd = new TimeSpan(10, 0, 0);

            if (timeOfDay >= asiaStart && timeOfDay <= asiaEnd)
                return "Asian (00:30 - 03:00)";
            
            if (timeOfDay >= londonStart && timeOfDay <= londonEnd)
                return "London (07:00 - 10:00)";

            return "Off-Peak / Outside Window";
        }
    }
}

Re: Raw vs standard on AUDUSD: 30-day cost race

Posted: Sun Oct 04, 2026 11:11 pm
by PTScalper
Setup Instructions

1.) Open cTrader Automate (the code icon on the left sidebar).

2.) Click New Indicator, name it TrueExecutionCost, and paste the C# code above over the default template.

3.) Click Build (or press F8).

4.) Apply it to an AUDUSD chart. Set your cTrader chart timezone to UTC+0 / UTC+1 (London) via the bottom right corner so the Bars.LastBar.OpenTime aligns perfectly with your defined session logic.