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π ACE Presale & LeoStrategy DeFi Dashboard![]()
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π Data Sources
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We compiled data from public announcement posts, presale statistics, and market pricing for the supporting LEO token:
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ACE Presale progress: current stage pricing, percent sold, participants count from public dashboards and community posts.
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LEO price and historical range from CoinGecko.
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Additional ACE market snapshot (where available) from LBank.
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β οΈ ACE price is not widely listed on major aggregators yet, but LBank shows live price data.
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π Chart 1 β ACE Presale Progress
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This shows how much of the presale has been sold relative to the total allocation and how the price has incrementally increased as stages progress and uptake continues.
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Assumptions & Data Points
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Total presale size: 555,555 ACE at $0.90 base price.
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Reported ~1.9% sold with 61 participants (latest).
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import matplotlib.pyplot as plt
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Data
stages = ['Stage Start','Current']
percent_sold = [0, 1.9]
price = [0.90, 0.91]
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fig, ax1 = plt.subplots()
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ax1.bar(stages, percent_sold, color='skyblue')
ax1.set_ylabel('% of Presale Sold', color='blue')
ax1.set_title('ACE Presale Status')
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ax2 = ax1.twinx()
ax2.plot(stages, price, color='green', marker='o', label='ACE Price')
ax2.set_ylabel('ACE Presale Price (USD)', color='green')
ax2.legend(loc='upper left')
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plt.savefig('ace_presale_progress.png')
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π Chart shows modest initial uptake β only ~1.9% sold with a small number of participants, indicating early stage presale activity.
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π Chart 2 β LEO Token Price (Recent Week)
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We pulled the latest historical pricing data from CoinGecko to visualize LEO market performance, a key collateral underpinning ACEβs peg backing.
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import matplotlib.pyplot as plt
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Sample historical data from CoinGecko scrapes
dates = ["2026-01-24","2026-01-26","2026-01-28","2026-01-30","2026-02-01","2026-02-02"]
prices = [8.99,9.13,9.22,9.24,9.22,8.74]
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plt.plot(dates, prices, marker='o')
plt.title('LEO Token Recent Price (USD)')
plt.xlabel('Date')
plt.ylabel('Price in USD')
plt.xticks(rotation=45)
plt.tight_layout()
plt.savefig('leo_price_trend.png')
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π LEO has fluctuated around $9 in recent weeks, showing relative stability but some volatility β relevant because ACE presale proceeds help provide collateral liquidity that may influence LEOβs macro trend.
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π Chart 3 β ACE vs LEO Market Snapshot
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This comparative chart bins recent prices for ACE (from exchange snapshot) and LEO to visually show relative market placement.
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import matplotlib.pyplot as plt
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tokens = ['ACE (LBank)','LEO (CoinGecko)']
values = [0.2422, 8.74]
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plt.bar(tokens, values, color=['orange','purple'])
plt.title('ACE vs LEO Price Comparison')
plt.ylabel('Price (USD)')
plt.savefig('ace_vs_leo_price.png')
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π ACE is trading significantly lower than LEO β ACEβs market price (~$0.24) reflects speculative secondary market movement (LBank data), while LEO charts around ~$8-$9.
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π§ Dashboard Insights & Analysis
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- Presale Dynamics
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Low early adoption: Roughly 1.9% sold indicates a slow start, possibly due to limited marketing or niche community reach.
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Price progression structure: ACE price increases by $0.01 every 72 hours as presale advances, incentivizing early buyers.
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Implication: Early participants have incentive to buy sooner rather than later, but uptake so far is modest.
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2. Collateral Support & Backdrop
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LEO tokenβs relatively stable recent price gives confidence in the collateral backing mechanism that ACE uses in its peg stability model.
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Implication: A stable and moderately liquid LEO price environment reduces peg stress for ACE initial launch.
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3. Market Price Snapshot
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ACEβs live exchange price (~$0.24) is very low compared to presale peg expectations, showing speculative secondary market prices can diverge before peg and liquidity mechanisms fully activate.
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Implication: Primary issuance and secondary market behavior differ until full liquidity and peg modules are live.
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