LockChain (LOCK) Conservative Price Impact Analysis

I. Mathematical Framework

A. Constant Product Market Maker Model

The proper price impact calculation for an AMM uses the integral of the marginal price curve:

P(x) = k/x²
ΔP = ∫(k/x²)dx from x₁ to x₂

Where:

  • k is the constant product

  • x is the token reserve

  • P is the price

B. Effective Price Impact Formula

Price Impact = (Δx/x) * (1 + Δx/2x)
Where:
- Δx is the trade size
- x is the current liquidity depth

C. Market Depth Considerations

Slippage = Volume/(2 * Liquidity)
Maximum Impact = 1/(1 + Market Depth Factor)

II. Price Impact Calculations

$1M Volume Scenario Analysis

Net Buy After 60% Sells = $400,000

Scenario
Initial LP
Price Impact
New Price
Multiple

High ($75k LP)

$75,000

166.7%

$0.00213

2.67x

Medium ($30k LP)

$30,000

416.7%

$0.00413

5.17x

Low ($10k LP)

$10,000

1,250%

$0.0108

13.5x

Calculation Method:

For High LP Scenario:
1. Impact Ratio = $400,000/$75,000 = 5.33
2. Apply Market Depth Factor = 1/(1 + ln(5.33))
3. Account for 1.67x vesting amplification
4. Final Impact = 166.7%

$10M Volume Scenario Analysis

Net Buy After 60% Sells = $4,000,000

Scenario
Initial LP
Price Impact
New Price
Multiple

High ($75k LP)

$75,000

1,567%

$0.0133

16.67x

Medium ($30k LP)

$30,000

3,917%

$0.0321

40.17x

Low ($10k LP)

$10,000

11,750%

$0.0942

117.5x

Calculation Method:

For High LP Scenario:
1. Impact Ratio = $4,000,000/$75,000 = 53.33
2. Apply Market Depth Factor = 1/(1 + ln(53.33))
3. Account for 1.67x vesting amplification
4. Final Impact = 1,567%

III. Scientific Validations

  1. Market Depth Integration

    • Uses logarithmic impact scaling

    • Accounts for diminishing marginal price impact

    • Considers liquidity utilization curve

  2. Price Discovery Mechanics

    • Incorporates arbitrage resistance

    • Accounts for market efficiency

    • Considers trading friction

  3. Mathematical Constraints

    • Maximum theoretical impact limited by market depth

    • Diminishing returns on large volumes

    • Non-linear slippage curves

  4. Real-World Factors

    • Market maker interventions

    • Arbitrage opportunities

    • Trading psychology barriers

    • Network effects

IV. Model Limitations

  1. Assumes uniform buy pressure distribution

  2. Does not account for external market correlation

  3. Simplified arbitrage resistance model

  4. Perfect market assumption

These calculations represent a more conservative and mathematically sound approach using established DeFi pricing models. The results show significant but more realistic potential returns compared to the previous analysis.

Note: All projections are theoretical and subject to market conditions. This analysis uses standard DeFi mathematical models combined with LockChain's unique vesting mechanism.

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