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Inputs
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 Dashboard Price Date
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 Regen Price Final Value 2.32 3/18/2029
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 Label Constant Unit Sources Note
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TIMING ASSUMPTIONS
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 First model date 3/18/2024 date RND - total supply
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 Target Price - Phase 1 $0.112/31/2024 by COP Investments
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 Target Price - Phase 2 $0.512/31/2025 by Series A start Retail Demand
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 Target Price - Phase 3 $5.0 <+/- 20%> Protocol Demand
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MONETARY SUPPLY ASSUMPTIONS
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 Initial Total Supply 100,000,000 $REGEN Whitepaper 1.3
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 Initial Total Supply subject to inflation 188,280,000 $REGEN
https://www.mintscan.io/regen
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 Initial Regen Liquidity $424,948 $
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 Market Cap $8,498,503.00
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 Circulating Supply REGEN Market Cap 566,566,867
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LIQUIDITY POOL
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 Liquidity % of market cap 3% %
amount capital for liquidity pool specifically for the other side of the trading pair to achieve 3% on osmosis
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REGEN INFLATION
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 Regen Minimum Yearly Inflation 3% % Whitepaper 1.3
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 Regen Maximum Yearly Inflation 10% % Whitepaper 1.3
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 Regen Staking Threshold 66.10% % Whitepaper 1.3
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REGEN BURNING MECHANISM
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 Burn fees percentage rate 5% % RND Model
5% of the eco-credit value (eg sold 100* $10 = burn $50)
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PRICING ASSUMPTIONS
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 Initial ATOM Price $4.1700 USD per ATOM
https://www.coingecko.com/en/coins/cosmos-hub
Should we update to 9 ?
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 ATOM Price Yearly variation 27.00% %
As an assumption, yearly variation has been calculated on the hypothesis that ATOM goes back to around all-time high.
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 ATOM Price price by final date $13.786023/18/2029
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 ATOM Price all-time-high in the past $44.70000 USD
For reference. https://coinmarketcap.com/currencies/cosmos/
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 Initial Regen Price $0.01500 USD per $Regen
https://www.coingecko.com/en/coins/regen
Should we update to 0.04 ?
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 Pricing range for Regen Price simulation 10.00% %
Freelancer Model Col [N;O] what does this do?
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STATISTICAL REGRESSION ASSUMPTIONS
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 Regen Circulating Supply Price Factor (0.00000001109801684) x
Regression Mod. 6 Factor 1 - P08
Update 16.09
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 Regen Liquidity Price Factor 0.00000009983990446 x
Regression Mod. 6 Factor 1 - P09
Update 16.09
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 Atom Price Factor 0.01072088330945210 x
Regression Mod. 6 Factor 1 - P10
Update 16.09
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 Regen NCT Liquidity Pool 0.00000024267891080 x
Regression Mod. 6 Factor 1 - P11
Update 16.09
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 REGEN-ATOM Volume - Pool (0.00000000100800598) x
Regression Mod. 6 Factor 1 - P12
Update 16.09
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Market Depth
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Data Approach
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+2% Market Depth - Data Approach702.00 USD
Call API on Coingecko: https://api.coingecko.com/api/v3/coins/regen/tickers?depth=true (Recent data as of 17 March 2024)
Buying order necessary to increase the price by 2%
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-2% Market Depth - Data Approach700.00 USD
Call API on Coingecko: https://api.coingecko.com/api/v3/coins/regen/tickers?depth=true (Recent data as of 17 March 2024)
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Algorithmic Approach
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Coefficient
This is a proof of concept based on a* Regen Market Cap + b * Crypto Fear & Greed Index Factor + C * Bitcoin Daily Delta Price Factor + D * Regen Trading Volume Factor + E * Previous Market Depth (volume needed to move 2%)
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a0.00 x Placeholder
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b0.10 x Placeholder
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c0.00 x Placeholder
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d0.01 x Placeholder
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e0.95 x Placeholder
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a
Regen Market Cap Factor2,270,018 USD Placeholder
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b
Crypto Fear & Greed Index Factor49 ratio Placeholder
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c
Bitcoin Daily Delta Price Factor1,857 USD Placeholder
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d
Regen Trading Volume Factor4,619.63 USD Placeholder
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e
Previous Market Depth702.00 USD Placeholder
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+2% Market Depth - Algorithmic Approach702 USD
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a
Regen Market Cap Factor2,270,018.00 USD Placeholder
We assume the same impact of buying & selling pressure to initialize the model
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b
Crypto Fear & Greed Index Factor49.00 USD Placeholder
We assume the same impact of buying & selling pressure to initialize the model
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c
Bitcoin Daily Delta Price Factor1,857.49 USD Placeholder
We assume the same impact of buying & selling pressure to initialize the model
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d
Regen Trading Volume Factor4,619.63 USD Placeholder
We assume the same impact of buying & selling pressure to initialize the model
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e
Previous Market Depth702.00 USD Placeholder
We assume the same impact of buying & selling pressure to initialize the model
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-2% Market Depth - Algorithmic Approach702 USD
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Approach Selected by the user (Data or Algorithmic)
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Pressure calculation Method (Data, Algorithmic) Data label
Data = Purely through statistical analysis, Algorithmic formula based with additional market price drivers)
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+2% Market Depth Chosen method - Data702.00 USD
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-2% Market Depth Chosen method - Data700.00 USD
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 Buying order needed to increase price by USD 0.01 23,400 USD
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 Selling order needed to decrease price by USD 0.01 23,333 USD
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 Convexity of order book 1.00 constant
Assumption for the gradient of the curve
For simplicity it is assumed that buying and selling pressure is linear (gradient = 1), i.e. you don't have exponentially more people selling as you increase the price.
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Buying pressure to get to Phase 1 Target price of $0.1
1,090,000 USD
Pressure between current & target price.
Just for reference and without any other market dynamics
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Buying pressure to get to Phase 2 Target price of $0.5
2,920,000 USD
Pressure between current & target price.
Just for reference and without any other market dynamics
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 Buying pressure to get to Phase 3 Target price of $5 4,010,000 USD
Pressure between current & target price.
Just for reference and without any other market dynamics
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Sizing the investment
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 Target 1 daily buying program 5,000.00 USD per day
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 Target 2 daily buying program 20,000.00 USD per day Linkage with eco-credit sales
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 Target 1 daily buying program 150,000.00 USD per month
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 Target 2 daily buying program 600,000.00 USD per month
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 Price reached by Target 1 deadline 0.51 12/31/2024
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 Price reached by Target 2 deadline 1.79 12/31/2025 avg cost
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 Investment pressure to reach Target 1 1,090,000 USD 0.277,610,903.27 REGEN
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1,090,000 Investment pressure to reach Target 2 2,920,000 USD 1.152,845,550.95 REGEN
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 Total Investment pressure to reach all the targets 4,010,000 USD 0.62
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 Market Valuation @ $5 $18,669,853 USD 10,456,454.22REGEN
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 Multiple of invested capital 4.66 X
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 Target 1 daily buying program USD per day
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 Target 2 daily buying program USD per day Linkage with eco-credit sales