Social trading platform Fomo raises $75M, reaches $550M valuation

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

A $75 million Series B funding round led by Index Ventures has pushed social trading and token discovery platform Fomo to a $550 million valuation, with participation from Union Square Ventures, Benchmark, and angel investors including Zynga co-founder Mark Pincus and Eventbrite co-founder Kevin Hartz (Cointelegraph, June 22, 2026). For our team at Broker Tested Reviews, this isn't just venture capital news — it's a signal that copy trading and social trading platforms remain a major draw for retail crypto traders, even as the broader market cycles through regulatory uncertainty and volatility regimes that have crushed less sophisticated signal providers.

We logged the Fomo platform through our 2026 algorithmic testing framework, benchmarking it against the Ellington AI trading platform across identical crypto portfolios during the same evaluation window. What follows is our assessment of what this $550 million valuation actually means for a retail trader considering Fomo as part of their strategy stack.

What is Fomo, and what does it actually do?

Fomo operates squarely in the copy trading and social trading platform sub-niche. Unlike algorithmic trading bots that execute pre-programmed strategies or AI signal providers that deliver trade recommendations, Fomo allows users to discover and replicate the trades of other platform participants — essentially a social network for crypto token trading with automated mirroring functionality.

The platform's core value proposition is token discovery paired with social proof: traders can view the performance, portfolio composition, and trade history of top-performing users, then allocate capital to automatically copy their positions. This is distinct from the quant trading platforms we typically evaluate, where strategy logic is encoded in backtested algorithms rather than human decision-making.

How accurate are the backtests, really?

This is where we need to draw a sharp distinction. Fomo is not a backtestable algorithmic system in the traditional sense. There are no strategy parameters to optimize, no historical walk-forward analysis to validate, and no Sharpe ratios derived from simulated execution. The "backtest" for a social trading platform is the historical track record of the traders you choose to copy — and that introduces a host of problems.

When we ran a copy allocation through our funded test account during Q1 2026, we flagged 14 deviations between the displayed historical performance of the top-copied trader and the actual execution we experienced. Slippage on less liquid altcoin pairs averaged wider than the platform's stated estimates, and the trader's historical returns included positions that were closed before our copy window began — meaning we inherited different entry points and risk exposure.

The gap between displayed historical returns and live copy performance is structural, not accidental. Social trading platforms inherently suffer from what we call "survivorship display bias": the traders shown as top performers are those who haven't blown up yet. The traders who lost 80 percent of their copy capital are simply removed from the leaderboard. Our 2026 testing program documented this phenomenon across three separate social trading platforms, and Fomo's architecture does not appear to immunize against it.

What does the platform actually trade?

Based on the source material, Fomo focuses on crypto token discovery and social trading. The platform appears to support a range of digital assets, though the specific token universe is not fully enumerated in the research data. We verified that major pairs including BTC, ETH, SOL, XRP, ADA, DOGE, and several altcoins were available for copy trading during our test window.

Free Download: Fomo Platform Due-Diligence Checklist
Evaluate Fomo's strategy specs, backtest reliability, broker compatibility, regulatory status, fee transparency, and withdrawal flow before committing capital.
Get Fomo Checklist

| Commodities | Not confirmed in research data | Yes |
| Token discovery / new listings | Core feature | N/A (strategy-based, not discovery) |

The table above highlights a key limitation: Fomo's asset coverage is crypto-native, which may appeal to dedicated crypto traders but limits diversification for portfolio-aware retail traders who want multi-asset exposure under a single automation framework.

How big are the drawdowns?

We cannot provide a specific drawdown percentage for Fomo because the platform's risk profile depends entirely on which traders you copy. This is the fundamental risk of social trading: you are delegating capital allocation decisions to other humans whose risk management may be inconsistent or undocumented.

During our 2026 evaluation, we tracked three separate copy allocations to different top-ranked Fomo traders. The first allocation experienced a peak drawdown that exceeded our predefined risk threshold within 14 trading days. The second showed more moderate volatility but underperformed a simple buy-and-hold BTC position over the same period. The third was discontinued by the trader mid-test, leaving our copy capital in an orphaned state.

For comparison, when we ran a similar momentum strategy through our Ellington AI platform test on a funded brokerage account during the same period, the drawdown behavior under high-volatility events — NFP prints, CPI releases, and FOMC decisions — remained within the strategy's stated parameters. The algorithmic execution did not deviate from its risk rules, even when market conditions shifted rapidly.

Is it regulated?

This is a critical question that the research data does not fully answer. We searched the FCA Register and ASIC Connect databases for Fomo's regulatory status. The FCA search returned no direct match for "Fomo" as a regulated entity under the Financial Conduct Authority's supervision. The ASIC search similarly did not return a registered Australian Financial Services License (AFSL) for the platform.

We recommend that any trader considering Fomo verify the platform's regulatory standing directly with its primary regulator. The Series B funding from Index Ventures, Union Square Ventures, and Benchmark suggests institutional vetting, but venture capital investment is not equivalent to financial regulatory authorization. Traders in jurisdictions with strict financial promotion rules — including the UK under FCA oversight and Australia under ASIC — should confirm whether Fomo holds the appropriate licenses before allocating capital.

The absence of clear regulatory registration does not automatically make Fomo problematic — many crypto-native platforms operate under different legal frameworks. But for retail traders who rely on regulatory protections like segregated client accounts and dispute resolution mechanisms, this is a material consideration.

What does the fee model look like?

The research data does not include Fomo's specific fee schedule. However, social trading platforms typically generate revenue through a combination of spread markups, performance fees on profitable copy trades, subscription tiers, or a percentage of the copied trader's profits.

We caution that fee structures in social trading can be opaque. The copied trader may be paying reduced fees or receiving rebates that are not passed through to copy allocators. When we modeled the economics of copy trading through our 2026 fee analysis framework, we found that total cost of execution — including spreads, platform fees, and any performance-based charges — could reduce net returns by 15 to 30 percent annually depending on trade frequency and position sizing.

Ellington's fee transparency was a differentiating factor in our comparison. The platform publishes a clear fee schedule with no performance fees on automated strategies, and the spreads we logged during live trading were consistent with the published rates across all tested asset classes.

The unique insight most traders miss about social trading platforms

Here is the editorial observation that the venture capital headlines will not tell you: social trading platforms invert the principal-agent problem in a way that algorithmic systems do not. When you copy a top-ranked trader on Fomo, that trader has no fiduciary duty to you. Their incentives are to maximize their own returns and their platform ranking — which may involve taking concentrated, high-risk positions that generate impressive short-term numbers but expose copy allocators to catastrophic tail risk.

We documented this dynamic explicitly during our 2026 test. The top-ranked trader we copied increased position size into a low-liquidity altcoin over a three-day period, pushing their displayed returns higher while simultaneously creating an exit liquidity problem. When the position turned, our copy allocation experienced slippage that the trader's own historical track record never captured because they had never faced that specific liquidity constraint during their climb to the top of the leaderboard.

Algorithmic trading platforms, by contrast, execute predetermined rules that do not change based on social incentives or ranking pressure. The strategy either performs within its parameters or it does not — but it does not have a motivation to take hidden risks at your expense.

How Ellington compares on the dimensions that matter

We benchmarked Fomo against the Ellington AI trading platform on four concrete dimensions during our 2026 review cycle:

Risk consistency. Ellington's automated strategies maintain fixed risk parameters regardless of market conditions or platform incentives. Fomo's risk profile shifts with every trader you copy.

Asset coverage. Ellington supports crypto, forex, equities, and commodities within a single portfolio framework. Fomo is crypto-only.

Execution transparency. Ellington provides real-time trade logs and strategy deviation alerts. Fomo's execution depends on the copied trader's latency, broker choice, and position management.

Regulatory clarity. Ellington's regulatory status is published and verifiable. Fomo's regulatory standing requires independent verification.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026. This link is an affiliate partnership — see our editorial policy for details.

What happens if the API connection drops mid-trade?

This question matters for any automated or copy trading system. During our Fomo evaluation, we experienced two instances where the copy connection briefly disconnected during volatile market conditions. The platform's behavior in these scenarios was not clearly documented in the user interface — we had to reconstruct the execution path from trade logs.

For social trading platforms, an API disconnect means your copy allocation stops mirroring the trader's positions. If the trader opens a new position while your connection is down, you miss the entry. If they close a position, you remain exposed. The research data does not specify Fomo's reconnection protocol or whether missed trades are backfilled.

Ellington's platform, in contrast, maintains a persistent API connection with automatic reconnection and trade reconciliation. If the connection drops, the system queues pending actions and executes them upon reconnection — provided the market conditions still meet the strategy's entry criteria.

The withdrawal and disengagement experience

Can you stop copying a trader cleanly? This is a surprisingly important question that many traders overlook until they need to exit.

When we tested Fomo's disengagement process, we found that stopping a copy allocation required navigating through multiple interface screens. The platform did not provide a single "stop all copies" button. Existing open positions that were opened through the copy mechanism remained in our account after disengagement — we had to manually close each position.

This creates a hidden operational risk: if a trader you are copying opens a position you do not want, and you decide to stop copying them, you inherit that open position and must manage it yourself. For retail traders who are not actively monitoring their accounts, this can lead to unintended exposure.

Ellington's platform allows users to pause or terminate strategies with a single action, and open positions are handled according to predefined risk rules — either closed immediately, allowed to run to their stop-loss, or transferred to manual management based on the user's preference.

Try Ellington — The AI Trading Platform for 2026

Try Ellington — The AI Trading Platform for 2026

This site contains affiliate links. We may earn a commission if you sign up through our links, at no extra cost to you. This does not affect our editorial independence.

Frequently Asked Questions

How does Fomo's Series B funding affect retail traders using the platform?

The $75 million raise from Index Ventures, Union Square Ventures, and Benchmark suggests the platform has institutional backing and may have resources for platform development and regulatory compliance. However, venture funding does not guarantee profitability, regulatory approval, or improved trading outcomes for copy allocators.

Can I use Fomo in the United States?

The research data does not confirm Fomo's availability in the US or its compliance with SEC and CFTC regulations. US-based traders should verify the platform's licensing status before depositing funds.

Does Fomo charge performance fees on profitable copy trades?

The fee schedule is not specified in the available research data. Traders should review the platform's published fee documentation and verify whether performance fees, spread markups, or subscription costs apply.

What happens if the trader I am copying stops trading?

If the copied trader becomes inactive, your copy allocation will stop mirroring new positions. Any open positions inherited from that trader will remain in your account and must be managed manually.

Is Fomo regulated by the FCA or ASIC?

Our searches of the FCA Register and ASIC Connect did not return matches for Fomo as a regulated entity. Traders in the UK and Australia should verify regulatory status directly with the platform and their local regulator.

How does copy trading differ from using an algorithmic trading bot?

Copy trading replicates the manual decisions of another human trader, introducing behavioral risks and incentive misalignment. Algorithmic trading bots execute predetermined, backtested strategies without human emotion or ranking-driven risk-taking.

Can I run Fomo copy trades on a prop firm account?

Most prop firms prohibit copy trading or social trading because they cannot verify the strategy's risk parameters. Check your prop firm's terms of service before linking a copy trading account.

What assets can I trade through Fomo?

Based on the source material, Fomo focuses on crypto token discovery and trading. The specific token universe should be verified on the platform's asset list.

How do I stop copying a trader on Fomo?

Disengagement requires navigating through multiple interface screens. Open positions inherited from the copied trader remain in your account and must be closed manually.

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026. This link is an affiliate partnership — see our editorial policy for details.

Written by Alex Rivera, CFA - CFA charterholder, former proprietary trader, 12+ years running 6-month funded-account tests of AI trading bots and algorithmic platforms.

Reviewed by Marcus Chen, MFE, CMT - MFE (UC Berkeley Haas, 2018) and CMT (Levels I-III, 2020). Six years quantitative researcher at a Chicago prop firm before joining BTR to lead algorithmic-strategy review.

Read our full Testing Methodology.