Zcash is a privacy-focused blockchain with optional shielded.

Zcash

ZEC Rank #11
Market Signal
Bullish

30D +62.9% 86.9% below ATH

Price-based current market conditions indicator with 100 percent data coverage. This is not a price forecast.
$777.02
Updated Data via CoinMarketCap
Market cap
$13.08B
Privacy Dominance
46.8%
Volume (24h)
$1.23B
Circ. supply
16.84M
FDV
$16.32B

Zcash price chart

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Zcash price prediction

See how Zcash could move across bullish, bearish and black swan scenarios, with the evidence behind each range.

Published automatically
Reference close
$816.61
Median terminal price
$817
Target date
ZEC prediction range

90-day price prediction

Actual Forecast median 50% 80% 95%
Zcash price history and 90-day prediction distribution Actual daily closes run from $546.00 on May 28, 2026 to the $816.61 reference close on Aug 26, 2026. The projected median and 50%, 80% and 95% predictive bands then extend to Nov 24, 2026; exact terminal scenarios are listed beside the chart.
Actual daily closes run from $546.00 on May 28, 2026 to the $816.61 reference close on Aug 26, 2026. The projected median and 50%, 80% and 95% predictive bands then extend to Nov 24, 2026; exact terminal scenarios are listed beside the chart.
Explainable methodology

How this price prediction is built

CryptoSlate uses historical Zcash price data and statistical models to estimate a range of possible future prices. The models account for both normal market movements and unusually large price swings, then test how well their predictions perform on past data. The forecast shows possible scenarios, rather than a guarantee or investment recommendation. An additional stress model estimates the potential impact of an extreme downturn.

Technical Details

The forecast combines a horizon-aware, drift-shrunk Student-t GARCH model, filtered historical simulation, and regularized quantile regression. Nonnegative model weights are learned from earlier Monday-UTC forecast dates without using future data. A 52-week embargo separates training from testing, followed by 10 held-out forecasts spaced 371 days apart. Performance is measured using CRPS and coverage diagnostics against a stronger predeclared simple baseline. An EVT model extends the downside tail for the black-swan stress scenario. Polymarket has zero weight in forecast.v1.

Price data CoinMarketCap, CryptoSlate

  • Volatility baseline Models changing volatility and heavy-tailed returns with a Student-t GARCH process. 0.0% ensemble weight
  • Historical simulation Replays filtered historical shocks to preserve non-normal moves without looking ahead. 49.5% ensemble weight
  • Quantile estimates Uses regularized predictors to estimate the terminal distribution at multiple percentiles. 50.5% ensemble weight
Model sensitivities
  • 30-day price momentum

    Momentum shifts the regularized quantile component while shrinkage limits extrapolation.

  • Volatility and fat tails

    Higher conditional volatility widens both upside and downside predictive bands.

  • Fixed-time prediction markets

    The first release retains a zero-weight boundary until historical overlay validation is available.

Risks and limitations
  • Past market behavior may not represent a new market structure or regulatory shock.

  • The forecast targets one UTC terminal price and does not predict the full intraday path.

  • Actual prices can finish outside every displayed interval.

  • Non-overlapping labels reduce mechanical overlap, but regime dependence can persist and manual review remains required.

Validation evidence
  • Backtest origins

    An origin is a historical date when the model is tested as if it were issuing a live forecast.

    Public raw backtest origins are fixed to Monday UTC to prevent schedule shopping, meaning results cannot be improved by choosing unusually favorable start dates. This horizon requires at least 2,714 continuous daily candles, including up to six days of weekday-alignment slack.

  • Calibration and holdout

    Calibration origins are earlier forecasts used to choose the ensemble weights. Held-out origins are kept separate and used only to evaluate the chosen model.

    This run used 72 weekly calibration origins and compared weight selection with filtered historical simulation. An embargo then skipped 12 weekly dates, creating a deliberate gap before evaluation.

    The final 20 held-out origins were issued 91 days apart across a 248-position validation span so their 90-day outcomes do not overlap.

  • CRPS and confidence

    CRPS stands for Continuous Ranked Probability Score. It measures the accuracy of the full probability forecast rather than a single price target; lower is better because it rewards both an accurate center and honest uncertainty bands.

    The held-out point edge against the strongest simple baseline was +0.1%. The minimum one-sided 95% paired lower bound was -2.6%; this conservative check asks whether the measured advantage remains above zero after accounting for sample variation.

    The monitoring target is a point edge of at least 2% and a positive lower bound against both GARCH and filtered historical simulation. These regime-dependent diagnostics remain advisory and do not interrupt publication.

  • Simulation and reproducibility

    A simulation path is one plausible 90-day price journey drawn by the model.

    The published run used 2,000 paths for the displayed distribution and 2,000 paths at each backtest origin.

    RNG seed 680,947,311,519,456,256 fixes the random-number stream so an identical run can be reproduced. It is deterministically derived from the frozen forecast.v1 production salt, horizon, asset ID, and modeled reference-close timestamp; candles, provenance, and market inputs do not select the random stream. The modeled reference close is timestamped 2026-08-26T23:59:59Z.

  • Prediction-market overlay

    No quality-qualified Polymarket evidence contributed to this forecast, so prediction-market prices did not move the published distribution.

Terminal scenarios

What the distribution implies

  • Bullish scenario 72.7%
    $1,410 $1,113 to $1,956 corridor

    The bullish scenario is the model P80 terminal estimate, with its P70-P90 corridor shown as a range.

  • Bearish scenario 42.7%
    $468 $357 to $578 corridor

    The bearish scenario is the model P20 terminal estimate, with its P10-P30 corridor shown as a range.

  • Black swan stress -75.7%
    $199 Extreme-tail stress marker; not a precise probability claim

    This stressed downside marker extends the fitted loss tail beyond ordinary simulations and should not be read as a precise probability forecast.

    Stress assumptions
    • Downside shock A clustered downside shock exceeds the model ordinary volatility regime.
    • Liquidity stress Liquidity deteriorates while forced selling amplifies the daily tail loss.
    • Tail extension The figure is an EVT stress extension, not a stated one-percent event probability.
Accountability

Published prediction history

Snapshots remain immutable so readers can inspect exactly what CryptoSlate published at each forecast date.

PublishedTarget dateMedian80% rangeStatus
$792$335–$2,014Target pending
$836$350–$2,106Target pending

Probabilistic scenario analysis, not a guarantee or investment recommendation.

Market Signal analysis

Why Zcash is bullish

Bullish 74 100% data coverage

The recency of its price milestones weighs on it, while Price momentum across the scored timeframes supports the reading. Together these inputs produce a bullish reading rather than a price forecast.

Score drivers

Momentum 55% weight +22 pts
Historical position 20% weight +3 pts
Milestone recency 15% weight −2 pts
Volume confirmation 10% weight 0 pts

Historical position

Log scale · formula input

Momentum evidence

24H
Down 1.18%
7D
Up 40.68%
30D
Up 62.92%
Highest weight
90D
Up 45.37%
1Y
Up 1,309.27%

Market context

Not directly scored
CEX volume (24h)
$1.22B
DEX volume (24h)
$14.46M
Total supply
16.84M
How this score is calculated Model v1.0 · Current conditions, not a forecast.

What it measures

The model converts price momentum, logarithmic historical position, milestone recency, and short-term volume confirmation into one 0–100 score. Missing evidence lowers data coverage instead of counting as neutral.

Configured model weights

Momentum
55% weight
Historical position
20% weight
Milestone recency
15% weight
Volume confirmation
10% weight

When inputs are missing, these configured weights are renormalized across the available evidence; data coverage records what is missing.

How to read it

50 is the neutral midpoint. Scores of 60 or higher are bullish, 40 or lower are bearish, and 41–59 are neutral.

Zcash Markets

Loading market data Updated

Showing 10 spot markets sorted by CoinMarketCap exchange rank. Markets excluded from CMC price or volume calculations are hidden.

Pair
1 ZEC/USDT $777.09 $152.17M 825
2 ZEC/USDC $777.30 $6.15M 693
3 ZEC/USD $777.36 $61.56M 717
4 ZEC/USDT $776.70 Best price $31.07M 660
5 ZEC/USDC $777.12 $1.2M 649
6 ZEC/USDT $776.98 $4.36M 663
7 ZEC/USDT $777.43 $39.69M 641
8
PancakeSwap v3 (BSC)
ZEC/BTCB $777.61 $617.42K 377
9
PancakeSwap v3 (BSC)
ZEC/USDT $778.58 $565.37K 355
10 ZEC/USDT $777.02 $7.01M 584

Affiliate Disclaimer: CryptoSlate may receive a commission when you click trading links on this page and complete an action with a third party. This does not influence our editorial independence or coverage.

Latest Zcash news

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About Zcash

Zcash is a proof-of-work blockchain focused on privacy, offering users a choice between transparent transactions and shielded transactions secured by zero-knowledge cryptography.

By combining optional privacy with selective disclosure tools, Zcash aims to support private payments while retaining the ability for users to share transaction details when needed for auditing, compliance, or reporting. CryptoSlate tracks Zcash market data and network context on its Zcash (ZEC) page, and lists it within the broader privacy assets sector.

Overview

Zcash uses zk-SNARKs (zero-knowledge succinct non-interactive arguments of knowledge) to enable shielded transfers that can hide the sender, recipient, and amount on-chain. Transactions can also be made transparently, similar to Bitcoin, which is an important distinction from privacy systems that enforce privacy by default. Zcash has a capped supply of 21 million ZEC and uses proof-of-work mining to secure the network.

History and Background

Zcash launched in 2016 and emerged from academic work on privacy-preserving payments, including the Zerocash protocol. The project was originally led by the Zcash Company, later renamed the Electric Coin Company (ECC). Zcash’s early development included a “Founders Reward” mechanism that directed a portion of block rewards to founders, early employees, and supporting entities during the first years of issuance.

Zcash’s governance and stewardship have been shared across multiple organizations, most notably the ECC and the Zcash Foundation, alongside community grant programs. The project is often associated with founder Zooko Wilcox, who has been a prominent public voice for Zcash’s privacy-first positioning.

Technology and Features

Zcash supports multiple address types and privacy modes. Historically, “t-addresses” (transparent) behaved like Bitcoin-style UTXOs, while “z-addresses” enabled shielded transfers. Over time, Zcash introduced improvements to make shielded usage more practical and efficient, particularly for mobile and consumer wallets.

  • Shielded transactions: zk-SNARK-based transfers that can conceal sender, receiver, and amount.
  • Optional transparency: users may transact transparently when privacy is not required.
  • Selective disclosure: tools such as viewing keys can allow users to share details with auditors or counterparties without making data public to the entire network.
  • Unified Addresses: a single address format that can simplify receiving funds across supported pools and wallet capabilities.
  • Halo and Halo 2 proving system: upgrades designed to remove reliance on a trusted setup and modernize Zcash’s proving stack.

A major milestone was Zcash Network Upgrade 5 (NU5), activated in 2022, which enabled the Orchard shielded protocol and unified addresses, and advanced the Halo-based proving system. These upgrades were intended to improve usability, reduce cryptographic assumptions, and set groundwork for future scalability and protocol evolution.

Funding and Ecosystem

Zcash’s ongoing development has been supported through protocol-level funding mechanisms tied to block rewards. Following the first halving in 2020, a development fund structure was established to allocate a portion of issuance to ecosystem maintenance and expansion, including support for the ECC, the Zcash Foundation, and major grants for independent teams. This model has also supported community-driven grants programs, which have funded wallets, infrastructure, developer tooling, and research.

Use Cases and Market Position

Zcash is commonly positioned as a digital cash system for users who value privacy, particularly in situations where transaction confidentiality is important, such as personal payments, donations, payroll, or commercial activity where exposing counterparties and amounts could create risk. Zcash’s “privacy as an option” model is sometimes presented as more adaptable for regulated environments than privacy-by-default systems; however, in practice, exchange and jurisdictional support can vary significantly, and shielded functionality is not universally supported across platforms and wallets.

Within the privacy category, Zcash competes with other privacy-focused networks and with privacy layers on more general-purpose chains, including zero-knowledge systems and application-level privacy tools.

Risks and Considerations

Zcash’s core value proposition, strong transaction privacy, can create regulatory and compliance challenges. Some exchanges and jurisdictions have restricted or delisted privacy assets amid evolving rules and enforcement expectations. CryptoSlate has covered market signals related to these pressures, including exchange monitoring and delisting concerns for privacy coins, such as in its report on potential Zcash delisting threats.

Other considerations include the long-term sustainability and perceived legitimacy of funding models, debates over governance and allocation of development resources, and the practical adoption of shielded transfers. Zcash’s technology roadmap has delivered significant cryptographic upgrades, but user experience, wallet support, and consistent platform integration remain key factors that can influence real-world usage and network effects.

Zcash Token Contracts

Zcash Technical Details

Consensus Proof of Work (PoW)
Mining Algorithm Equihash
Block Time 2.5 minutes
Circulating Supply 16,839,941
Total Supply 16,839,941
Max Supply 21,000,000

Zcash FAQs

What is the price of Zcash today?

As of Aug 27, 2026, Zcash trades at $777.02.

What is the market cap of Zcash?

Zcash has a market capitalization of $13,084,937,161.16.

What is the 24-hour trading volume of Zcash?

Zcash has a 24-hour trading volume of $1,233,966,757.72.

What is the all-time high of Zcash?

Zcash reached an all-time high of $5,941.80, recorded on Oct 29, 2016. It is currently 86.92% below its all-time high.

What is the all-time low of Zcash?

Zcash recorded an all-time low of $15.97, recorded on Jul 5, 2024. It is currently 4.77 thousand percent above its all-time low.

Zcash Organization and Team

Electric Coin Company (ECC) is the organization behind the development and maintenance of the privacy-focused cryptocurrency Zcash.

  • Registered in United States
  • Founded 2016

Team members

3 profiles

Andrew McLaughlin

Member - Board of Directors

Alan Fairless

Member - Board of Directors