chore:update agent data

app.py

@@ -1306,9 +1306,9 @@ def create_combined_roi_time_series_graph(df):
     
     logger.info(f"ROI outlier filtering: {before_outlier_filter} -> {after_outlier_filter} data points ({excluded_by_outlier} excluded)")
     
-    # IMPORTANT: Filter data by hardcoded date range (June 6 to June 25, 2025)
+    # IMPORTANT: Filter data by hardcoded date range (June 6 to June 30, 2025)
     min_date = datetime(2025, 6, 6)
-    max_date = datetime(2025, 6, 25, 23, 59, 59)  # Include all of June 25th
+    max_date = datetime(2025, 6, 30, 23, 59, 59)  # Include all of June 30th
     logger.info(f"Filtering ROI data to date range: {min_date} to {max_date}")
     
     # Count data points before filtering
@@ -1494,9 +1494,9 @@ def create_combined_roi_time_series_graph(df):
         title=None  # Remove the built-in axis title since we're using annotations
     )
     
-    # Update x-axis with better formatting and hardcoded date range (June 6 to June 25)
+    # Update x-axis with better formatting and hardcoded date range (June 6 to June 30)
     min_date = datetime(2025, 6, 6)  # Hardcoded start date: June 6, 2025
-    max_date = datetime(2025, 6, 25)  # Hardcoded end date: June 25, 2025
+    max_date = datetime(2025, 6, 30)  # Hardcoded end date: June 30, 2025
     logger.info(f"ROI Graph - Hardcoded date range: min_date = {min_date}, max_date = {max_date}")
     fig.update_xaxes(
         showgrid=True, 
@@ -1898,9 +1898,9 @@ def create_combined_time_series_graph(df):
     
     logger.info(f"APR outlier filtering: {before_outlier_filter} -> {after_outlier_filter} data points ({excluded_by_outlier} excluded)")
     
-    # IMPORTANT: Filter data by hardcoded date range (June 6 to June 25, 2025)
+    # IMPORTANT: Filter data by hardcoded date range (June 6 to June 30, 2025)
     min_date = datetime(2025, 6, 6)
-    max_date = datetime(2025, 6, 25, 23, 59, 59)  # Include all of June 25th
+    max_date = datetime(2025, 6, 30, 23, 59, 59)  # Include all of June 30th
     logger.info(f"Filtering APR data to date range: {min_date} to {max_date}")
     
     # Count data points before filtering
@@ -2208,9 +2208,9 @@ def create_combined_time_series_graph(df):
         title=None  # Remove the built-in axis title since we're using annotations
     )
     
-    # Update x-axis with better formatting and hardcoded date range (June 6 to June 25)
+    # Update x-axis with better formatting and hardcoded date range (June 6 to June 30)
     min_date = datetime(2025, 6, 6)  # Hardcoded start date: June 6, 2025
-    max_date = datetime(2025, 6, 25)  # Hardcoded end date: June 25, 2025
+    max_date = datetime(2025, 6, 30)  # Hardcoded end date: June 30, 2025
     logger.info(f"APR Graph - Hardcoded date range: min_date = {min_date}, max_date = {max_date}")
     fig.update_xaxes(
         showgrid=True, 

optimus_apr_values.csv

@@ -221,9 +221,38 @@ apr,adjusted_apr,timestamp,portfolio_snapshot,calculation_metrics,roi,agent_id,i
 10.43,17.83,2025-06-26 17:30:57,"{'portfolio': {'portfolio_value': 30.0855601431, 'value_in_pools': 0.0, 'value_in_safe': 30.0855601431, 'initial_investment': 1364.7328317795132, 'volume': None, 'agent_hash': 'bafybeidbt5azkdtdvj343jhtksv2jk4cuwaixchxbzmqplfiu5g36fogby', 'allocations': [], 'portfolio_breakdown': [], 'address': '0xa11417aeBF3932ee895008eDE8eA95616f488bCf', 'last_updated': 1750939188}, 'positons': []}","{'initial_value': 43.788775195405776, 'final_value': 44.05062731341627, 'f_i_ratio': -0.9779549817792025, 'first_investment_timestamp': 1750939257, 'time_ratio': 8760.0}",0.6,116,FALSE,0xa11417aeBF3932ee895008eDE8eA95616f488bCf,honji-hahi60,APR,,bafybeidbt5azkdtdvj343jhtksv2jk4cuwaixchxbzmqplfiu5g36fogby,,balanced,"[""balancer_pools_search"", ""uniswap_pools_search"", ""velodrome_pools_search""]",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 24.64,24.83,2025-06-26 18:05:19,"{'portfolio': {'portfolio_value': 17.7901949019, 'value_in_pools': 0.0, 'value_in_safe': 17.7901949019, 'initial_investment': 29.800138839731247, 'volume': 12.431696715496372, 'agent_hash': 'bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne', 'allocations': [], 'portfolio_breakdown': [], 'address': '0xc8E264f402Ae94f69bDEf8B1f035F7200cD2B0c7', 'last_updated': 1750940971}, 'positons': [{'chain': 'optimism', 'pool_address': '0x84Ce89B4f6F67E523A81A82f9f2F14D84B726F6B', 'dex_type': 'velodrome', 'token0': '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85', 'token1': '0x94b008aA00579c1307B0EF2c499aD98a8ce58e58', 'token0_symbol': 'USDC', 'token1_symbol': 'USDT', 'apr': 6.8210787661006504, 'pool_id': '0x84Ce89B4f6F67E523A81A82f9f2F14D84B726F6B', 'is_stable': True, 'is_cl_pool': True, 'status': 'open', 'enter_tx_hash': '0x26c993dbb424b604d3c6c21bcf357a002c904e42501e4368f12306824f9c6fd3', 'enter_timestamp': 1749400565, 'amount0': 106, 'amount1': 12417370, 'positions': [{'token_id': 2707603, 'liquidity': 124219155242, 'amount0': 0, 'amount1': 12416948, 'current_liquidity': 124219155242}, {'token_id': 2707604, 'liquidity': 1469411, 'amount0': 83, 'amount1': 358, 'current_liquidity': 1469411}, {'token_id': 2707605, 'liquidity': 215979, 'amount0': 23, 'amount1': 64, 'current_liquidity': 215979}]}]}","{'initial_value': 29.800138839731247, 'final_value': 30.20428599281401, 'f_i_ratio': -0.4030163752733562, 'first_investment_timestamp': 1749400565, 'time_ratio': 20.467904726457135}",1.36,120,FALSE,0xc8E264f402Ae94f69bDEf8B1f035F7200cD2B0c7,joyus-goson39,APR,,bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne,12.43169672,balanced,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 27.04,27.22,2025-06-26 18:16:34,"{'portfolio': {'portfolio_value': 30.226698257879082, 'value_in_pools': 28.517732257879082, 'value_in_safe': 1.7089660000000002, 'initial_investment': 29.800137839954267, 'volume': 28.55140257358176, 'agent_hash': 'bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne', 'allocations': [{'chain': 'optimism', 'type': 'velodrome', 'id': '0x1737275d53A5Ca5dAc582a493AA32C85ba2cFaD3', 'assets': ['USDC', 'DAI'], 'apr': 11.72, 'details': 'Velodrome CL Pool', 'ratio': 100.0, 'address': '0xEb4B51e304A2BBFdb0f3003FD2aC6375518f7A32', 'tick_ranges': [{'current_tick': 276346, 'tick_lower': 1, 'tick_upper': 5, 'token_id': 2696714, 'in_range': False}, {'current_tick': 276346, 'tick_lower': 0, 'tick_upper': 7, 'token_id': 2696715, 'in_range': False}, {'current_tick': 276346, 'tick_lower': -2, 'tick_upper': 8, 'token_id': 2696716, 'in_range': False}]}], 'portfolio_breakdown': [{'asset': 'USDC', 'address': '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85', 'balance': 0.0, 'price': 0.999902, 'value_usd': 0.0, 'ratio': 0.0}, {'asset': 'DAI', 'address': '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1', 'balance': 28.575311510572888, 'price': 0.997985, 'value_usd': 28.517732257879082, 'ratio': 0.943462}], 'address': '0xEb4B51e304A2BBFdb0f3003FD2aC6375518f7A32', 'last_updated': 1750940977}, 'positons': [{'chain': 'optimism', 'pool_address': '0x1737275d53A5Ca5dAc582a493AA32C85ba2cFaD3', 'dex_type': 'velodrome', 'token0': '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85', 'token1': '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1', 'token0_symbol': 'USDC', 'token1_symbol': 'DAI', 'apr': 11.72367776161805, 'pool_id': '0x1737275d53A5Ca5dAc582a493AA32C85ba2cFaD3', 'is_stable': True, 'is_cl_pool': True, 'status': 'open', 'enter_tx_hash': '0xe3a63099b0089fbd9b9f1804e06e89d784c2dc0c8246d82c47f8946768ee0d18', 'enter_timestamp': 1749304717, 'amount0': 0, 'amount1': 28575311510572886784, 'positions': [{'token_id': 2696714, 'liquidity': 140883006333932703642273, 'amount0': 0, 'amount1': 28179418962133970944, 'current_liquidity': 140883006333932703642273}, {'token_id': 2696715, 'liquidity': 756008482031388835413, 'amount0': 0, 'amount1': 264636045735864192, 'current_liquidity': 756008482031388835413}, {'token_id': 2696716, 'liquidity': 262486754105825167175, 'amount0': 0, 'amount1': 131256502703051648, 'current_liquidity': 262486754105825167175}]}]}","{'initial_value': 29.800137839954267, 'final_value': 30.24346132345117, 'f_i_ratio': 0.014314041774427855, 'first_investment_timestamp': 1749304717, 'time_ratio': 19.261254644658962}",1.49,121,FALSE,0xEb4B51e304A2BBFdb0f3003FD2aC6375518f7A32,cilwar-rimlu27,APR,,bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne,28.55140257,balanced,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
--3.56,3.84,2025-06-26 19:12:14,"{'portfolio': {'portfolio_value': 28.35765, 'value_in_pools': 0.0, 'value_in_safe': 28.35765, 'initial_investment': 30.87536749850655, 'volume': None, 'agent_hash': 'bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne', 'allocations': [], 'portfolio_breakdown': [], 'address': '0x70FAE90eb66b779FC368350a051D83dc6C7fF068', 'last_updated': 1750938766}, 'positons': []}","{'initial_value': 30.87536749850655, 'final_value': 29.77604503170499, 'f_i_ratio': -0.0815445354173786, 'first_investment_timestamp': 1750945334, 'time_ratio': 8760.0}",-3.56,117,FALSE,0x70FAE90eb66b779FC368350a051D83dc6C7fF068,furye-himkon89,APR,,bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne,,risky,"[""balancer_pools_search"", ""uniswap_pools_search"", ""velodrome_pools_search""]",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 -0.01,4.15,2025-06-26 19:52:32,"{'portfolio': {'portfolio_value': 15.995768639022604, 'value_in_pools': 7.996822639286602, 'value_in_safe': 7.9989459997360015, 'initial_investment': 15.997212603682174, 'volume': 7.9966556216216915, 'roi': -0.01, 'agent_hash': 'bafybeia2kyreljqwdzhg27g6wv6uwjnoa4qdn5j4kz6jjkmfst4mkyzo3e', 'allocations': [{'chain': 'optimism', 'type': 'velodrome', 'id': '0x1737275d53A5Ca5dAc582a493AA32C85ba2cFaD3', 'assets': ['USDC', 'DAI'], 'apr': 16.07, 'details': 'Velodrome CL Pool', 'ratio': 100.0, 'address': '0x072e95aDE0157317b647ceaae3029e4089064EA9', 'tick_ranges': [{'current_tick': 276330, 'tick_lower': 0, 'tick_upper': 1, 'token_id': 2902734, 'in_range': False}, {'current_tick': 276330, 'tick_lower': 0, 'tick_upper': 2, 'token_id': 2902735, 'in_range': False}, {'current_tick': 276330, 'tick_lower': -1, 'tick_upper': 3, 'token_id': 2902736, 'in_range': False}]}], 'portfolio_breakdown': [{'asset': 'USDC', 'address': '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85', 'balance': 8.000002, 'price': 0.999868, 'value_usd': 7.998945999736, 'ratio': 0.500066}, {'asset': 'DAI', 'address': '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1', 'balance': 8.00140744575302, 'price': 0.999427, 'value_usd': 7.996822639286604, 'ratio': 0.499934}], 'address': '0x072e95aDE0157317b647ceaae3029e4089064EA9', 'last_updated': 1750947654}, 'positons': [{'chain': 'optimism', 'pool_address': '0x1737275d53A5Ca5dAc582a493AA32C85ba2cFaD3', 'dex_type': 'velodrome', 'token0': '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85', 'token1': '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1', 'token0_symbol': 'USDC', 'token1_symbol': 'DAI', 'apr': 16.069594715267076, 'pool_id': '0x1737275d53A5Ca5dAc582a493AA32C85ba2cFaD3', 'is_stable': True, 'is_cl_pool': True, 'status': 'open', 'enter_tx_hash': '0x2054972b990cbfd1ee615bde0f299208872121355f136879bca658dc8c97b744', 'enter_timestamp': 1750760155, 'amount0': 0, 'amount1': 8001407445753019072, 'positions': [{'token_id': 2902734, 'liquidity': 140820392781802044336988, 'amount0': 0, 'amount1': 7040843622399849472, 'current_liquidity': 140820392781802044336988}, {'token_id': 2902735, 'liquidity': 6311627968460989439999, 'amount0': 0, 'amount1': 631162796846098944, 'current_liquidity': 6311627968460989439999}, {'token_id': 2902736, 'liquidity': 1647005130476802723246, 'amount0': 0, 'amount1': 329401026507070656, 'current_liquidity': 1647005130476802723246}]}]}","{'initial_value': 15.997212603682174, 'final_value': 15.995583798451701, 'f_i_ratio': -9.026351623520057e-05, 'first_investment_timestamp': 1750760155, 'time_ratio': 168.1047551785888}",-0.01,164,FALSE,0x072e95aDE0157317b647ceaae3029e4089064EA9,todan-bztnu21,APR,,bafybeia2kyreljqwdzhg27g6wv6uwjnoa4qdn5j4kz6jjkmfst4mkyzo3e,7.996655622,risky,"[""balancer_pools_search"", ""uniswap_pools_search"", ""velodrome_pools_search""]",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 -0.44,6.43,2025-06-26 20:31:12,"{'portfolio': {'portfolio_value': 28.410511259385064, 'value_in_pools': 0.0, 'value_in_safe': 28.410511259385064, 'initial_investment': 41.93048680235006, 'volume': None, 'agent_hash': 'bafybeibofwk77j3ejwnx5itwq55qieeestq74voniyfvcpndr6gavp6dla', 'allocations': [], 'portfolio_breakdown': [], 'address': '0x06D1f8cDB1F126f541E3dc28e7dB200B5Ebe00eB', 'last_updated': 1750944253}, 'positons': []}","{'initial_value': 41.93048680235006, 'final_value': 41.74668675443715, 'f_i_ratio': -0.32243783876621357, 'first_investment_timestamp': 1750950071, 'time_ratio': 8760.0}",-0.44,111,FALSE,0x06D1f8cDB1F126f541E3dc28e7dB200B5Ebe00eB,furtek-gilje55,APR,,bafybeibofwk77j3ejwnx5itwq55qieeestq74voniyfvcpndr6gavp6dla,,balanced,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 12.07,15.72,2025-06-26 22:05:20,"{'portfolio': {'portfolio_value': 17.707995594909, 'value_in_pools': 0.0, 'value_in_safe': 17.707995594909, 'initial_investment': 30.2963222595072, 'volume': 12.764690603049267, 'agent_hash': 'bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne', 'allocations': [], 'portfolio_breakdown': [], 'address': '0x8Ed5ae443fBb1a36E364ac154887f3150669702a', 'last_updated': 1750955537}, 'positons': [{'chain': 'optimism', 'pool_address': '0x2FA71491F8070FA644d97b4782dB5734854c0f6F', 'dex_type': 'velodrome', 'token0': '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85', 'token1': '0x7F5c764cBc14f9669B88837ca1490cCa17c31607', 'token0_symbol': 'USDC', 'token1_symbol': 'USDC.e', 'apr': 5.949749137116604, 'pool_id': '0x2FA71491F8070FA644d97b4782dB5734854c0f6F', 'is_stable': True, 'is_cl_pool': True, 'status': 'open', 'enter_tx_hash': '0x965989b30376a87b48a0b7a8eb6aa3a27d3536f5a44819195e9cfbdbb9d50cce', 'enter_timestamp': 1749535827, 'amount0': 7197322, 'amount1': 5578609, 'positions': [{'token_id': 2726290, 'liquidity': 255535328664, 'amount0': 7197322, 'amount1': 5578609, 'current_liquidity': 255535328664}]}]}","{'initial_value': 30.2963222595072, 'final_value': 30.468864569753872, 'f_i_ratio': -0.415506758766665, 'first_investment_timestamp': 1749535827, 'time_ratio': 22.210122383168173}",0.57,127,FALSE,0x8Ed5ae443fBb1a36E364ac154887f3150669702a,lunel-luwus85,APR,,bafybeiekagqmic4sdew2zdw4oah3yoeikahmjeif3zuvqdswrpfgq3ajne,12.7646906,balanced,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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