User: We have websocket that pushes realtime klines updates for each change in current 1min candle. Program should to determine last update for each candle and output the close price from this update (so in other words it outputs close price of each 1min candle). Explain in words how to do this.
Response:
{"symbol":"BTC_USDT","data":{"symbol":"BTC_USDT","interval":"Min1","t":1732134720,"o":94258.5,"c":94268.6,"h":94287.9,"l":94252,"a":3443194.35551,"q":365211,"ro":94258.5,"rc":94268.6,"rh":94287.9,"rl":94252},"channel":"push.kline","ts":1732134748705}
Response data parameters description:

Parameter	Data Type	Description
symbol	string	the name of the contract
a	decimal	total transaction amount
c	decimal	the closing price
interval	string	interval: Min1、Min5、Min15、Min30、Min60、Hour4、Hour8、Day1、Week1、Month1
l	decimal	the lowest price
o	decimal	the opening price
q	decimal	total transaction volume
h	decimal	the highest price
t	long	trading time，unit：second（s）， the start time of the window（windowStart）
Assistant: To determine and output the closing price of each 1-minute candle from a websocket that continuously pushes kline updates, you'll need to follow these steps:

1. **Connect to the Websocket**: 
   - Set up your application to connect to the websocket server and subscribe to the relevant channel for 1-minute klines (`push.kline` with an `interval` of `Min1`).

2. **Receive and Parse Messages**:
   - As the websocket sends data, your program should be capable of receiving these messages. The data will be in JSON format, similar to the example you provided. 
   - Parse the JSON to extract relevant fields, particularly the `symbol`, `interval`, time `t`, and the close price `c`.

3. **Track Candle Updates**:
   - For each unique `t` value (which represents the start time of each 1-minute interval), track the updates you receive. This means storing the latest message for each unique `t` until you determine it is complete.

4. **Determine when a Candle is Complete**:
   - A 1-minute candle is "complete" once no more updates are received for that specific time window (`t`) and the time advances to the next window. One way to determine this is by waiting for a message with a `t` value greater than the current one. This indicates that the next candle has started, and the previous one is now complete.

5. **Output the Closing Price**:
   - Once you determine that a candle is complete (i.e., the start of a new one-min interval is detected because the `t` value changes), output the last received close price `c` for that interval.

6. **Repeat for the Next Candle**:
   - Reset your tracker for the next time interval (`t`) and repeat the process.

Here is how you could implement this logic in pseudocode:

```pseudo
initialize websocket connection
subscribe to 'push.kline' for 'Min1'

candle_data = {}

on websocket message (receive data):
    parse JSON data to extract:
        symbol = data["symbol"]
        interval = data["data"]["interval"]
        start_time = data["data"]["t"]
        close_price = data["data"]["c"]

    if interval == "Min1":
        if start_time not in candle_data:
            # Detect the end of the current candle
            for previous_time in list(candle_data.keys()):
                if previous_time < start_time:
                    # Output the last known close price for completed candle
                    print(f"Completed Candle Close: {candle_data[previous_time].close_price}")
                    # Remove the completed candle from tracking
                    del candle_data[previous_time]
        
        # Update or set the latest close price for the current candle
        candle_data[start_time] = {"close_price": close_price}

```

This approach allows the program to monitor each 1-minute interval and ensure that it outputs the final close price as soon as the updates stop for that interval, marking the end of the candle.
User: Add this to this Python program:
import json
import traceback
import requests
from websocket import create_connection
from conf import CHAT_ID, TELEGRAM_API_URL

# MEXC WebSocket and Telegram Bot configurations
MEXC_WS_URL = "wss://contract.mexc.com/edge"
PAIR = "BTC_USDT"  # Set the pair you want to track
TIMEFRAME = "Min1"  # 1-minute candles
TREND_SIDE = "long"  # Set the trend side ("long" for upward, "short" for downward)

# Tracking data
candles = []
max_price = float('-inf')
min_price = float('inf')
max_volume = 0
message_count = 0
current_candle_time = ""
msg = 0
# Function to send a message to Telegram
def send_telegram_message(message):
    payload = {
        'chat_id': CHAT_ID,
        'text': message,
    }
    try:
        if len(message) > 4096:
            payload['text']=message[:4096]
        response = requests.post(TELEGRAM_API_URL, json=payload)
        response.raise_for_status()

    except Exception as e:
        print("Error sending message:", e)


# Function to analyze the candles for conditions
def analyze_candles():
    global max_price, min_price, max_volume, message_count

    if len(candles) < 3:
        return  # Not enough data yet

    last_candle = candles[-1]
    last_price = last_candle["close"]
    last_volume = last_candle["volume"]

    # Update max and min price and volume
    max_price = max(max_price, last_price)
    min_price = min(min_price, last_price)
    max_volume = max(max_volume, last_volume)

    # Condition 1: Three consecutive candles closing in the same direction
    if (TREND_SIDE == "long" and all(c["close"] > c["open"] for c in candles[-3:])) or \
            (TREND_SIDE == "short" and all(c["close"] < c["open"] for c in candles[-3:])):
        send_telegram_message(f"COND 1: Three consecutive {TREND_SIDE} candles.")

    # Condition 2: Candle closes with a 5% or more change in trend direction
    change_percent = ((last_candle["close"] - last_candle["open"]) / last_candle["open"]) * 100
    if (TREND_SIDE == "long" and change_percent >= 5) or \
            (TREND_SIDE == "short" and change_percent <= -5):
        send_telegram_message(f"COND 2: Candle closed with a {change_percent:.2f}% {TREND_SIDE} change.")

    # Condition 3: Three consecutive candles with increasing volume
    if len(candles) >= 4:
        if all(float(candles[i]["volume"]) > float(candles[i - 1]["volume"]) for i in range(-3, 0)):
            send_telegram_message("COND 3: Three consecutive candles with increasing volume.")

    # Every 10 candles, send a summary message
    message_count += 1
    if message_count >= 10:
        price_ratio = (last_price / max_price) * 100
        price_min_ratio = (last_price / min_price) * 100
        volume_ratio = (last_volume / max_volume) * 100
        summary = (
            f"MAX {price_ratio:.2f}%\n"
            f"MIN {price_min_ratio:.2f}%\n"
            f"VOL {volume_ratio:.2f}%"
        )
        send_telegram_message(summary)
        message_count = 0


# Function to process WebSocket messages
def process_message(message):
    global candles
    global current_candle_time
    data = json.loads(message)
    print(message)
    if "channel" in data and data["channel"] == "push.kline":
        candle = data["data"]
        # Check if candle matches our interval and pair
        # if not candles or (int(candles[-1]["timestamp"])-int(candle["t"]))==60:
        # if not candles and candle or candles[-1]["timestamp"] + 60 == candle["t"]:
        if current_candle_time != candle["t"]:
            current_candle_time = candle["t"]
            new_candle = {
                "open": float(candle["o"]),
                "close": float(candle["c"]),
                "high": float(candle["h"]),
                "low": float(candle["l"]),
                "volume": float(candle["q"]),  # total transaction volume
                "timestamp": candle["t"]
            }
            candles.append(new_candle)
            print(candles)
            # Keep only the last 10 candles for analysis
            if len(candles) > 10:
                candles.pop(0)

            analyze_candles()


# Main function to connect to the MEXC WebSocket
def main():
    global msg
    ws = create_connection(MEXC_WS_URL)
    # Subscribe to 1-minute kline data for the chosen pair
    ws.send(json.dumps({
        "method": "sub.kline",
        "param": {
            "symbol": PAIR,
            "interval": TIMEFRAME
        }
    }))

    try:
        while True:
            message = ws.recv()
            # print(message)
            msg = message
            process_message(message)
    except json.JSONDecodeError:
        pass
    except Exception as e:
        send_telegram_message(traceback.format_exc())
        # print(message)
        print(traceback.format_exc())
    finally:
        ws.close()


if __name__ == "__main__":
    while True:
        try:
            main()
        except Exception:
            # time.sleep(3)
            print(traceback.format_exc())
            # print("MSG",msg)
            send_telegram_message(traceback.format_exc())

Assistant: