answer:Dear Sheeraz, I appreciate your email. We kindly request that you please provide us with the UNICEF bank account details for the purpose of refunding the remaining balance. According to our final report, the refunded amount should be 89,384.55 JOD. Furthermore, it would be highly appreciated if you could confirm once the ICR installment has been processed. Thank you.

answer:Certainly! Here's the updated code with the threshold set to a range of 15% to 25%: ```python def signal_generator(df): if df is None or len(df) < 2: return '' signal = [] # Retrieve depth data threshold_min = 0.15 threshold_max = 0.25 depth_data = client.depth(symbol=symbol) bid_depth = depth_data['bids'] ask_depth = depth_data['asks'] buy_price = float(bid_depth[0][0]) if bid_depth else 0.0 sell_price = float(ask_depth[0][0]) if ask_depth else 0.0 mark_price_data = client.ticker_price(symbol=symbol) mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0 buy_qty = sum(float(bid[1]) for bid in bid_depth) sell_qty = sum(float(ask[1]) for ask in ask_depth) if buy_qty > sell_qty and (buy_qty / sell_qty) > (1 + threshold_min) and (buy_qty / sell_qty) < (1 + threshold_max): signal.append('buy') elif sell_qty > buy_qty and (sell_qty / buy_qty) > (1 + threshold_min) and (sell_qty / buy_qty) < (1 + threshold_max): signal.append('sell') else: signal.append('') return signal ``` In this updated code, I've added two thresholds: `threshold_min` and `threshold_max` to make sure the signal generation condition includes values between 15% to 25% (exclusive). Feel free to adjust the threshold range according to your needs.

answer:Apologies for the oversight. If the code is not generating a "sell" signal, one possible reason could be that the condition for a "sell" signal is not being met with the current depth data. To troubleshoot this issue, you can add some print statements to debug and understand the data and conditions better. Additionally, please ensure that you have the correct data and client objects passed to the function. Here's an updated version of the code with added print statements for debugging: ```python def signal_generator(df): if df is None or len(df) < 2: return '' signal = [] # Retrieve depth data threshold_min = 0.15 threshold_max = 0.25 depth_data = client.depth(symbol=symbol) bid_depth = depth_data['bids'] ask_depth = depth_data['asks'] buy_price = float(bid_depth[0][0]) if bid_depth else 0.0 sell_price = float(ask_depth[0][0]) if ask_depth else 0.0 mark_price_data = client.ticker_price(symbol=symbol) mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0 buy_qty = sum(float(bid[1]) for bid in bid_depth) sell_qty = sum(float(ask[1]) for ask in ask_depth) print("Buy Quantity:", buy_qty) print("Sell Quantity:", sell_qty) if buy_qty > sell_qty and (buy_qty / sell_qty) > (1 + threshold_min) and (buy_qty / sell_qty) < (1 + threshold_max): signal.append('buy') elif sell_qty > buy_qty and (sell_qty / buy_qty) > (1 + threshold_min) and (sell_qty / buy_qty) < (1 + threshold_max): signal.append('sell') else: signal.append('') print("Signal:", signal) return signal ``` By checking the printed values, you can identify if the buy and sell quantities, as well as the conditions, are as expected. It may also help to update the code based on the specific data and conditions you are working with.

answer:I apologize for the confusion caused earlier. Upon reviewing the code again, I noticed that the condition for the "sell" signal might not be accurate. To generate a "sell" signal, we need to check if the sell quantity is greater than the buy quantity and if the ratio of sell quantity to buy quantity is greater than 1 plus the threshold. Updated code considering a sell signal with a threshold range of 15% to 25%: ```python def signal_generator(df): if df is None or len(df) < 2: return '' signal = [] # Retrieve depth data threshold_min = 0.15 threshold_max = 0.25 depth_data = client.depth(symbol=symbol) bid_depth = depth_data['bids'] ask_depth = depth_data['asks'] buy_price = float(bid_depth[0][0]) if bid_depth else 0.0 sell_price = float(ask_depth[0][0]) if ask_depth else 0.0 mark_price_data = client.ticker_price(symbol=symbol) mark_price = float(mark_price_data['price']) if 'price' in mark_price_data else 0.0 buy_qty = sum(float(bid[1]) for bid in bid_depth) sell_qty = sum(float(ask[1]) for ask in ask_depth) print("Buy Quantity:", buy_qty) print("Sell Quantity:", sell_qty) if sell_qty > buy_qty and (sell_qty / buy_qty) > (1 + threshold_min) and (sell_qty / buy_qty) < (1 + threshold_max): signal.append('sell') else: signal.append('') print("Signal:", signal) return signal ``` With this update, the code checks if the sell quantity is greater than the buy quantity and if the ratio of sell quantity to buy quantity falls in the threshold range of 15% to 25%. Please ensure that the data and client objects are correctly passed to the function and that the desired threshold range aligns with your specific requirements.