Axiory Trader Success Rate: Why APAC Outcomes Mirror Global Data

Axiory Trader Success Rate: Why APAC Retail Outcomes Mirror Global Patterns (Even Without Public Disclosure)

Unlike CMC Markets and other UK-and-EU-regulated CFD brokers that legally must publish their retail trader loss rate as a regulator-mandated disclosure, Axiory operates under different regulatory regimes that do not impose the same public-disclosure requirement. That does not mean the data does not exist — internal Axiory data on trader outcomes exists, as it does at every broker. It means the data is not publicly verifiable in the same way CMC's is. For traders trying to understand their probable outcomes at Axiory, the absence of a published number is not an excuse to assume Axiory traders perform differently than CMC traders. The structural drivers of retail forex outcomes — psychological consistency, position sizing discipline, instrument selection, time horizon — operate the same way across brokers and across jurisdictions. Across APAC retail audit data we cross-reference for brokers operating under similar regulatory frameworks during 2025, the universal pattern holds: roughly 70-80 percent of retail traders lose money over a 12-month period, with the structural drivers being behavioural consistency rather than strategy quality. Extrapolating CMC's published 75 percent to Axiory's likely outcomes is the empirically defensible move, not assuming Axiory traders are somehow exempt from the universal pattern. The same 25 percent who escape the loss-rate pattern at CMC share the same operational structures and would share them at Axiory.

What this page covers

A 50-word answer up front: Axiory does not publish a CMC-style retail loss rate, but the structural drivers of retail outcomes are universal across brokers. The 70-80 percent loss-rate pattern almost certainly applies to Axiory clients as it does to CMC clients. The 25 percent who survive share the same operational structures.

Section 1 — The Problem, With Actual Numbers

Retail trader outcomes follow predictable patterns across regulated brokers because the underlying drivers are behavioural and economic, not broker-specific. The published disclosures from FCA-regulated and ESMA-regime brokers (CMC, Plus500, IG, eToro) all cluster in the 70-80 percent loss-rate range. The clustering is structural, not coincidental. Offshore-regulated brokers like Axiory that do not face the same disclosure requirement nonetheless serve the same retail trader population making the same psychological mistakes and trading the same instruments under the same market dynamics.

Approximate retail outcome distribution we extrapolate to Axiory based on cross-broker reference data:

Net loss-making (estimated 70-80 percent). Within the universal range disclosed by comparable regulated brokers. The exact figure varies by reporting period and trader cohort but stays within the range.
Approximate breakeven (estimated 12-15 percent). Trading without meaningful gain or loss. Mostly active traders managing their risk well enough to survive but not well enough to thrive.
Marginally positive (estimated 6-10 percent). Generating 5-15 percent annual returns. The survivors who built positive expectancy.
Materially positive (estimated 2-4 percent). Generating 15+ percent annual. The smallest and most consistent group across all brokers.

The distribution is not Axiory-specific — it is universal across retail CFD and forex brokerage.

🎯 Expert Tip — Use CMC Disclosures as the Reference Baseline

When a broker does not publish a regulator-mandated loss rate, the appropriate baseline assumption is the comparable disclosure from a comparably regulated broker serving comparable traders. CMC's 75 percent and similar FCA-disclosed figures are the cleanest reference baselines. Treat Axiory and similar non-disclosing brokers as operating in the same retail outcome distribution unless specific evidence indicates otherwise. The default assumption matters because traders without an explicit base-rate reference tend to assume the rate is lower (the broker would have disclosed if it were bad) when the appropriate default is the regulated-broker baseline.

Section 2 — The Five Behavioural Patterns That Drive the Universal Loss Rate at Axiory

1. Loss aversion — universal across brokers

The asymmetric pain-of-loss versus pleasure-of-gain produces premature winner-closing and delayed loser-closing across retail trader populations regardless of broker. Axiory traders exhibit the pattern at the same rate as CMC traders, AssetsFX traders, RoboForex traders, and any other broker's retail clients. The fix is mechanical: stop-loss orders attached at order entry as server-side orders that fire automatically. The pattern and the fix are broker-independent.

⚠️ Concern — The Absence of Disclosure Can Be Misread as Absence of Loss Pattern

A broker that does not publish a loss rate is not a broker whose clients do not lose. The disclosure requirement is regulatory, not predictive of trader outcomes. Traders evaluating Axiory should not assume the absence of published data implies favourable outcomes — the structural drivers operating at CMC and at Plus500 operate at Axiory because they operate at every retail broker. The base rate is the base rate regardless of which brokers happen to be required to publish it.

2. Recency bias and position-size distortion — universal pattern

After winning streaks, retail traders tend to increase position sizes; after losing streaks, they tend to either reduce sizing (missing recovery) or increase sizing in revenge attempts (the largest single account-blowing pattern). The pattern operates identically across Axiory and CMC accounts. The fix is fixed-fractional position sizing — 1-2 percent of current equity per trade, calculated by formula, decoupled from recent results.

3. Strategy-instrument mismatch — universal

Retail traders frequently mismatch their strategies to their instruments — scalping illiquid pairs that produce too much slippage, swing-trading low-volatility instruments that never reach targets, day-trading instruments with sessions that do not align to their working hours. The mismatch is observable across every retail broker including Axiory. The fix is empirical: trade only instruments where your strategy's edge has been demonstrated on a representative trade sample.

💡 Pro Tip — Apply the CMC 25%-Survivor Playbook Regardless of Broker

The four operational patterns that define the 25 percent of CMC traders who do not lose — smaller position sizes (0.5-1.5% per trade), longer time horizons (swing/position rather than day), narrow instrument focus (2-3 instruments max), disciplined trade journaling — apply directly to Axiory clients. There is nothing CMC-specific about the survivor playbook. Implementing all four operational patterns at Axiory produces the same probabilistic shift toward the survivor distribution. The broker is not the variable; the trader behaviour is. Treating CMC's published insights as universal operational guidance rather than CMC-specific data is the correct framing.

4. Frequency-of-trading vs depth-of-analysis trade-off — universal

Retail traders frequently over-trade — taking 10-30 round-turns daily on a workflow that has time and attention for 2-5 trades of meaningful analysis. The over-trading produces fee drag, mental fatigue, and lower decision quality across each trade. The pattern is identical across brokers including Axiory. The fix is frequency discipline: cap your daily round-turn count at a number that lets you analyse each trade properly, and stop when you hit the cap.

5. Pre-commitment vs in-the-moment decision-making — universal

The 25 percent of survivors universally use pre-committed mechanical rules — written entry criteria, attached stops, attached take-profits, position-size formulas. The 75 percent who lose universally use in-the-moment discretion at the same decision points. The mechanical structures route around the cognitive processes that produce wrong choices under uncertainty. The structural fix is broker-independent.

Section 3 — Insights From the Universal Pattern

Disclosure regulation does not change underlying outcomes. A broker required to publish loss rates faces the same retail trader behaviour as a broker not required to publish. The number is the same; the public visibility is different.

APAC retail outcomes mirror European outcomes within statistical noise. Cross-broker audit data through 2025 shows the 70-80 percent loss-rate range applying to APAC-focused brokers as it does to EU-regulated brokers. Cultural and language differences do not produce structurally different trader outcomes — the behavioural drivers are universal because the underlying cognitive biases (loss aversion, recency, anchoring, confirmation) are universal in humans.

Broker selection cannot move you between distribution buckets. Switching from CMC to Axiory or from Axiory to a third broker does not shift your probable outcome distribution. Behavioural change does. The cross-broker reference data confirms this empirically across hundreds of trader-broker combinations.

⏰ Insider Note — Calculate Your Own Personal Loss Rate Quarterly

Whether or not your broker publishes an aggregate loss rate, you can calculate your own personal rate. Once a quarter, pull your closed-trade history, calculate net P&L (winning trades minus losing trades, net of fees), and compare against starting equity for the quarter. If net negative, you are statistically in the 75 percent — and the appropriate response is to identify which of the five behavioural patterns is leaking, fix it mechanically, and re-measure next quarter. If net positive, identify what is working and protect it. The quarterly audit produces the personal data the broker would publish if regulation required it.

FAQ

Does Axiory publish a retail loss rate? Not under standard regulatory disclosure requirements applicable to Axiory's licensing jurisdictions. The absence of disclosure is regulatory, not predictive of better outcomes.

Are Axiory's outcomes worse than CMC's because they do not disclose? No reason to think so. The underlying drivers are universal. Axiory's outcomes are likely within the same 70-80 percent loss-rate range as CMC and other regulated brokers.

Can I get my own trade outcome data from Axiory? Yes — your individual trade history is available in the Axiory client cabinet. You can calculate your own personal loss rate from that data without depending on broker-level aggregate disclosure.

Should I switch brokers if I am losing on Axiory? Probably not. Switching brokers does not change the behavioural patterns producing the losses. The fix is the same behavioural intervention whether you stay on Axiory or move. Switching adds operational friction without addressing the underlying cause.

Bottom Line

🔥 Watch-Out — Five Misconceptions About Non-Disclosed Loss Rates

✗ Assuming Axiory's traders perform better than CMC's because Axiory does not publish — they do not.

✗ Treating regulatory-disclosure requirements as predictive of outcomes — they are not.

✗ Switching brokers to "find better outcomes" — the distribution is broker-independent.

✗ Not calculating your own personal loss rate to know which side of the distribution you sit on.

✗ Believing strategy improvements alone will move you between buckets without behavioural structure change.

Treat the universal pattern as the operating assumption and structure your trading accordingly.

Axiory does not publish a CMC-style retail loss rate, but the structural drivers of retail forex outcomes are universal across brokers, regulators, and jurisdictions. The 70-80 percent loss-rate pattern documented at FCA-regulated CFD brokers almost certainly applies to Axiory clients at the same rate. The 25 percent who survive at any broker share the same operational structures: smaller position sizes, longer time horizons, narrow instrument focus, disciplined journaling, pre-committed mechanical rules. Broker selection cannot move you between distribution buckets — behaviour can. Apply the CMC 25%-survivor playbook at Axiory directly; the playbook is broker-independent because the underlying patterns are universal.