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Update app.py
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app.py
CHANGED
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@@ -186,7 +186,7 @@ if df is not None and uid_input:
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if 'symbol' in trade_list[i]:
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symbol = trade_list[i]['symbol']
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side ="buy" if trade_list[i]['amount']>0 else "sell"
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amount = trade_list[i]['
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symbol = trade_list[i]['symbol']
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trade_list[i]['side'] =side
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trade_list[i]['changeInAmount'] = changeInAmount
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@@ -205,7 +205,7 @@ if df is not None and uid_input:
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new_position = entry.get('NewPosition', {})
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# Extract symbol and amount
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symbol = new_position.get('symbol')
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amount = new_position.get('
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if start==False:
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start_time = new_position.get('updateTime')
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year = start_time[0]
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@@ -418,7 +418,7 @@ if df is not None and uid_input:
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df_transformed = pd.DataFrame({
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'Pair/Asset': df_history['symbol'],
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'is long': df_history['side'],
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'Current size after change': df_history['
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'Change in size in Asset': df_history['changeInAmount'],
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'Change in size in USDT': df_history['changeInAmount'] * -(df_history['markPrice']),
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'Entry price': df_history['entryPrice'],
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@@ -464,7 +464,7 @@ if df is not None and uid_input:
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df_starting = pd.DataFrame(starting_position)
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for index, row in df_starting.iterrows():
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side = True if row['
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is_closed = isClosed(row['i'])
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# Generate a unique key for the button
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@@ -473,7 +473,7 @@ if df is not None and uid_input:
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# Display a button for each trade position
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if st.button(
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f"{row['symbol']} : Long: {side}, Entry Price: {row['entryPrice']}, "
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f"Market Price: {row['markPrice']}, Amount: {row['
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f"Leverage: {row['leverage']}, TradeTakenAt: {row['updateTime']}, "
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f"lastUpdated: {lastUpdated(row['i'])}, isClosed: {is_closed}",
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key=button_key
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if 'symbol' in trade_list[i]:
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symbol = trade_list[i]['symbol']
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side ="buy" if trade_list[i]['amount']>0 else "sell"
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amount = trade_list[i]['usdAmount']
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symbol = trade_list[i]['symbol']
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trade_list[i]['side'] =side
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trade_list[i]['changeInAmount'] = changeInAmount
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new_position = entry.get('NewPosition', {})
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# Extract symbol and amount
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symbol = new_position.get('symbol')
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amount = new_position.get('usdAmount')
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if start==False:
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start_time = new_position.get('updateTime')
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year = start_time[0]
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df_transformed = pd.DataFrame({
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'Pair/Asset': df_history['symbol'],
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'is long': df_history['side'],
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'Current size after change': df_history['usdAmount'],
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'Change in size in Asset': df_history['changeInAmount'],
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'Change in size in USDT': df_history['changeInAmount'] * -(df_history['markPrice']),
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'Entry price': df_history['entryPrice'],
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df_starting = pd.DataFrame(starting_position)
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for index, row in df_starting.iterrows():
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side = True if row['usdAmount'] > 0 else False
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is_closed = isClosed(row['i'])
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# Generate a unique key for the button
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# Display a button for each trade position
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if st.button(
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f"{row['symbol']} : Long: {side}, Entry Price: {row['entryPrice']}, "
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f"Market Price: {row['markPrice']}, Amount: {row['usdAmount']}, "
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f"Leverage: {row['leverage']}, TradeTakenAt: {row['updateTime']}, "
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f"lastUpdated: {lastUpdated(row['i'])}, isClosed: {is_closed}",
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key=button_key
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