TON vs BTC and ETH: a historical correlation analysis

Toncoin’s correlation with Bitcoin and Ethereum is a question every analyst hits when sizing TON inside a portfolio or studying it as a research subject. In bull markets, altcoins often copy/paste BTC; in bear markets, they fall harder. TON has its own curve here — periods of strong following and periods of dramatic decorrelation. Let’s break down how it works.

Disclaimer. This is analytical commentary. Not investment advice. Correlation is not causation and not a forecast.

What correlation means in a crypto context

The base definition: the Pearson coefficient between log returns of two assets over a rolling window. Values from -1 to +1:

• +1 — assets move identically together;
• 0 — independent;
• -1 — move in opposite directions.

In crypto the standard is 30-day or 90-day windows on daily closes. That gives a snapshot of “current market regime”. If TON-BTC correlation over 30 days is 0.85, TON is essentially tracking BTC.

Eras in TON’s history

To talk about correlation you need the timeline. TON’s cycle splits cleanly into five eras:

Era 1: Gram ICO and freeze (2018-2020)

TON isn’t trading yet — tokens unissued, only grey-market pre-IPO sales. No correlation, because no market price.

Era 2: community-mainnet launch (2021-2022)

In September 2021 TON sets its all-time low at $0.5194 (CoinGecko). Thin volumes, thin order book, BTC correlation weak (~0.3-0.5) — the market simply doesn’t treat TON as a “normal” altcoin yet.

Era 3: Telegram Wallet integration (2023 to early 2024)

TON starts ripping — from $1.50 in early 2023 to the $8.25 peak in June 2024. Correlation with BTC and ETH climbs to 0.6-0.8 as the market starts treating TON like a regular L1 altcoin.

Era 4: airdrop cycle and Hamster Kombat peak (mid to late 2024)

TON decouples here. Hamster Kombat and Notcoin generate endogenous TON demand; correlation with BTC drops to 0.2-0.4. TON trades on its own track.

Era 5: return to normal and sideways (2025-2026)

After the airdrop narrative burns out, TON reverts to “regular altcoin” mode. Rolling correlation with BTC: 0.5-0.7; with ETH: 0.6-0.75. As of May 2026, TON trades 69% below its ATH.

Concrete numerical reference

Per CoinGecko and independent analyst reports, correlations look roughly like this (indicative 30-day rolling values):

These aren’t precise single-snapshot numbers — they’re typical ranges. CoinGecko’s TON page shows a top-10 correlation index of 0.534 and a top-100 index of 0.656 (at the time of analysis), confirming the order of magnitude.

Why TON sometimes decouples

Several TON-specific reasons:

1. Telegram narrative. When MAU news, mini-app launches and integrations move TON endogenously, correlation with the broader market drops.
2. Airdrop waves. Hamster Kombat, Notcoin, DOGS, MAJOR — each large launch generated its own TON demand wave as the ecosystem’s payment token.
3. Thin market depth. On a thin book, correlation is unstable — a large order can detach the price from the broader market.
4. Regional demand. Part of TON’s flow comes from P2P trading in Russia, the CIS, Türkiye. That segment has its own cycles, not always synchronous with global risk-on/risk-off.

TON beta — the amplitude

If correlation describes direction, beta describes amplitude. For TON vs BTC, beta estimates by period sit at 1.2-2.0. That means on a day when BTC is up 1%, TON is up 1.2-2% on average. In bear markets the same multiplier applies on the downside: TON falls faster than BTC.

Practical takeaways for an analyst

What to do with these numbers in real work:

1. Don’t treat TON as a “BTC proxy”. A 0.5-0.7 correlation means TON tracks BTC about 60% of the time and goes its own way the other 40%. That’s not a proxy.
2. Account for the era. Decorrelation widens in airdrop seasons. Use wider confidence intervals in your forecasts.
3. Watch stablecoin inflows. One of the best TON-specific leading indicators is USDT-jetton supply growth. That’s an endogenous factor not captured in BTC correlation.
4. Return decomposition. A useful exercise — split TON’s daily return into a “BTC component” and a “residual” (alpha). Across 2024-2026 the alpha component is meaningful — and it’s what makes TON distinctive.

Where to pull data for your own analysis

Minimum pipeline: download BTC, ETH, TON CSVs for the period, compute log returns, run pandas .rolling(30).corr(). Five minutes for your own correlation table.

Common mistakes

• Using too short a window. 7-day correlation is extremely noisy. Use 30-day minimum.
• Ignoring regime shifts. Averaging correlation across four years hides the airdrop era.
• Confusing correlation with dependence. Pearson catches only linear links. Non-linear dependence requires other tools (Hellinger distance, copulas).
• Extrapolating. Correlation today doesn’t guarantee correlation tomorrow.

Further reading

• TON price predictions 2026 — broader market context.
• How to read TON on-chain metrics — methodology for on-chain analysis.
• TON DeFi metrics: TVL, volume, users — fundamental data.
• Complete TON guide — ecosystem overview.

Sources

• CoinGecko — Toncoin
• CoinMarketCap — Toncoin
• IntoTheBlock — TON analytics
• DWF Labs — TON 2024 milestones
• STON.fi — TON DeFi ecosystem in numbers