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Bittensor (TAO) — DCA Calculator

Calculate the returns of Dollar-Cost Averaging into Bitcoin and other cryptocurrencies.

190 data points · 2026-03-132026-09-18 · TAO real prices

DCA Simulation Results

Total Invested

$2,800.00

Estimated Value

$3,168.09

Return on Investment

+13.1%

Profit / Loss

+$368.09

Avg. Cost Basis

$234.28

Total Purchases

28

This simulation uses approximated historical return patterns. Actual results vary. Past performance does not guarantee future returns. This is not financial advice.

What is Dollar Cost Averaging for Bittensor?

Dollar Cost Averaging (DCA) is an investment strategy where you regularly invest a fixed amount into Bittensor (TAO) — regardless of the current price. This strategy reduces the risk of buying at the wrong time and smooths out your average purchase price over time.

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Bittensor in Market Context

Market Position

Bittensor (TAO) sits at rank #35, an established mid-cap in the upper quintile, with a current market cap of $3.01 B. Within the AI-crypto sector, Bittensor sits at the intersection of decentralized compute markets and machine learning.

Recent Price Action

At $265.08 (only 35% of the ATH of $757.60), Bittensor is in a deep correction — drawdowns of this magnitude have historically offered attractive re-entry zones depending on fundamentals. Over the last 7 days, Bittensor has gained +9.2%; over 30 days it has rallied a strong +25.7%.

Valuation Signals

At 61.9/100, Bittensor is in "Fair Value" territory — market and fundamentals are balanced; no clear buy or sell signal from valuation alone. MVRV at 70/100 suggests a favorable valuation relative to realized cap. Low dev activity (score 0/100) is a cluster risk — project stagnation elevates long-term delisting risk. The NVT ratio (75/100) shows healthy network activity relative to market cap.

Risk Profile

AI-sector risks: narrative-driven valuation bubbles, technical hurdles in decentralized compute, and competition from Big-Tech AI APIs.

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Bittensor Fundamental Analysis

Value Score, metrics, chart and more for TAO

View Analysis →