updating live data and fixing one error on the script

live_data/markets_live_data.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d55b96c8515b457af0da4e22c8b02b150e209e4897b32a303637f096a4a3452a
-size 447117
+oid sha256:cdaa343d73ce4d6c6dd2fa32278dfd89c95958c216d2e7a7963de2a2835ffaf6
+size 453717

scripts/live_traders_data.py

@@ -165,12 +165,20 @@ def add_trading_info(fpmms: pd.DataFrame, current_timestamp: int, logger) -> Non
             # trades for outcome 1
             trades_outcome_1 = market_trades.loc[market_trades["outcomeIndex"] == 1]
             logger.debug(f"Total trades for outcome 1 = {len(trades_outcome_1)}")
-            first_outcome, second_outcome = compute_price_weighted_perc(
-                trades_outcome_0, trades_outcome_1, logger
-            )
-            bought_tokens_first, bought_tokens_second = (
-                compute_bought_tokens_distribution(trades_outcome_0, trades_outcome_1)
-            )
+            try:
+                first_outcome, second_outcome = compute_price_weighted_perc(
+                    trades_outcome_0, trades_outcome_1, logger
+                )
+                bought_tokens_first, bought_tokens_second = (
+                    compute_bought_tokens_distribution(
+                        trades_outcome_0, trades_outcome_1
+                    )
+                )
+            except ValueError:
+                logger.info(
+                    f"Skipping market id {market_id} because of a Value Error when computing distributions"
+                )
+                continue
             metric = abs(fpmm["first_token_perc"] - first_outcome)
             logger.info(f"metric for this market {metric}")
         else: