📊 ACE Presale & LeoStrategy DeFi Dashboard![]()
🔍 Data Sources
We compiled data from public announcement posts, presale statistics, and market pricing for the supporting LEO token:
ACE Presale progress: current stage pricing, percent sold, participants count from public dashboards and community posts.
LEO price and historical range from CoinGecko.
Additional ACE market snapshot (where available) from LBank.
⚠️ ACE price is not widely listed on major aggregators yet, but LBank shows live price data.
📈 Chart 1 — ACE Presale Progress
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.
Assumptions & Data Points
Total presale size: 555,555 ACE at $0.90 base price.
Reported ~1.9% sold with 61 participants (latest).
import matplotlib.pyplot as plt
Data
stages = ['Stage Start','Current']
percent_sold = [0, 1.9]
price = [0.90, 0.91]
fig, ax1 = plt.subplots()
ax1.bar(stages, percent_sold, color='skyblue')
ax1.set_ylabel('% of Presale Sold', color='blue')
ax1.set_title('ACE Presale Status')
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')
plt.savefig('ace_presale_progress.png')
📌 Chart shows modest initial uptake — only ~1.9% sold with a small number of participants, indicating early stage presale activity.
📉 Chart 2 — LEO Token Price (Recent Week)
We pulled the latest historical pricing data from CoinGecko to visualize LEO market performance, a key collateral underpinning ACE’s peg backing.
import matplotlib.pyplot as plt
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]
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')
📌 LEO has fluctuated around $9 in recent weeks, showing relative stability but some volatility — relevant because ACE presale proceeds help provide collateral liquidity that may influence LEO’s macro trend.
📊 Chart 3 — ACE vs LEO Market Snapshot
This comparative chart bins recent prices for ACE (from exchange snapshot) and LEO to visually show relative market placement.
import matplotlib.pyplot as plt
tokens = ['ACE (LBank)','LEO (CoinGecko)']
values = [0.2422, 8.74]
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')
📌 ACE is trading significantly lower than LEO — ACE’s market price (~$0.24) reflects speculative secondary market movement (LBank data), while LEO charts around ~$8-$9.
🧠 Dashboard Insights & Analysis
- Presale Dynamics
Low early adoption: Roughly 1.9% sold indicates a slow start, possibly due to limited marketing or niche community reach.
Price progression structure: ACE price increases by $0.01 every 72 hours as presale advances, incentivizing early buyers.
Implication: Early participants have incentive to buy sooner rather than later, but uptake so far is modest.
2. Collateral Support & Backdrop
LEO token’s relatively stable recent price gives confidence in the collateral backing mechanism that ACE uses in its peg stability model.
Implication: A stable and moderately liquid LEO price environment reduces peg stress for ACE initial launch.
3. Market Price Snapshot
ACE’s 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.
Implication: Primary issuance and secondary market behavior differ until full liquidity and peg modules are live.
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