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Pi Network (PI) — DCA Calculator

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

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

DCA Simulation Results

Total Invested

$2,800.00

Estimated Value

$1,981.91

Return on Investment

-29.2%

Profit / Loss

-$818.093621

Avg. Cost Basis

$0.120423

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 Pi Network?

Dollar Cost Averaging (DCA) is an investment strategy where you regularly invest a fixed amount into Pi Network (PI) — 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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Pi Network in Market Context

Market Position

Pi Network (PI) ranks #78 within the top-100 tier — solid liquidity but elevated volatility versus top-20, with a current market cap of $958.56 M. As a Layer-1 blockchain, Pi Network competes with other base-layer networks for developer adoption, liquidity, and institutional capital.

Recent Price Action

At $0.0852 (only 3% of the ATH of $2.99), Pi Network is in a deep correction — drawdowns of this magnitude have historically offered attractive re-entry zones depending on fundamentals. Over the last 7 days, Pi Network has dropped −10.6%; over 30 days it has dropped −5.6%.

Valuation Signals

At 53.4/100, Pi Network is in "Fair Value" territory — market and fundamentals are balanced; no clear buy or sell signal from valuation alone. MVRV at 95/100 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.

Risk Profile

Layer-1-specific risks: network adoption must scale or valuation stagnates. Validator concentration and consensus security are primary technical risks.

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Pi Network Fundamental Analysis

Value Score, metrics, chart and more for PI

View Analysis →