Crypto Total Market Cap Excluding BTC and ETH, $ Price Forecast 2026: Why $698 Billion is the Line

The Real-Time Crypto API for Developers: TOTAL3 Outlook 2026

Okay, so today, April 7, 2026, the Crypto Total Market Cap Excluding BTC and ETH, $ (TOTAL3) is sitting right at $699,724,950,842. Thats a big number, and it just nudged up +0.017% since open. But dont let that small green flicker fool you. The overall signal is a "Strong Sell" with a score of -73.7. Conflicting signals are everywhere, and thats exactly why you need reliable, real-time data feeds. FCSAPI gives you access to over 3000 crypto coins, not just the big two, and we're talking about market data thats fast. Like, seriously fast. If youre building anything that needs to react to market shifts, you cant be waiting for delayed quotes. This is for developers who need to parse JSON responses and build systems that work, not just look pretty.

How to Get Real-Time TOTAL3 Price Today with REST API

The core of any trading bot or fintech dashboard is getting the current price. And for something like TOTAL3, which represents a huge chunk of the altcoin market, latency matters. Our REST API is super straightforward for this. You hit an endpoint, you get a JSON blob back. Simple. Lets say you want the latest TOTAL3 price. You'd use our `latest` endpoint for crypto. ```python import requests import json API_KEY = "YOUR_FCSAPI_KEY" # Replace with your actual API key SYMBOL = "TOTAL3" # The symbol for Crypto Total Market Cap Excluding BTC and ETH, $ url = f"https://fcsapi.com/api/v3/forex/latest?symbol={SYMBOL}&access_key={API_KEY}" try: response = requests.get(url) response.raise_for_status() # Raise an exception for HTTP errors data = response.json() if data and data.get("status") == True and data.get("response"): # The API returns an array of objects, even for a single symbol total3_data = data["response"][0] print(f"Symbol: {total3_data.get('s')}") print(f"Current Price: {total3_data.get('c')}") print(f"Open Price: {total3_data.get('o')}") print(f"High Price: {total3_data.get('h')}") print(f"Low Price: {total3_data.get('l')}") print(f"Timestamp: {total3_data.get('t')}") else: print(f"Error or no data found: {data.get('info', 'Unknown error')}") except requests.exceptions.RequestException as e: print(f"API request failed: {e}") except json.JSONDecodeError: print("Failed to decode JSON response.") ``` And here's what a typical JSON response for TOTAL3 might look like. This is what you're parsing, this is the raw data your bots will be working with: ```json { "status": true, "code": 200, "msg": "success", "response": [ { "id": "TOTAL3_ID", "s": "TOTAL3", "p": "Crypto Total Market Cap Excluding BTC and ETH, $", "c": "699724950842", "o": "699605595088", "h": "700100000000", "l": "699500000000", "ch": "0.017", "cp": "0.017", "t": "1712476800" } ], "info": { "server_time": "2026-04-07 10:00:00 UTC" } } ``` That `c` field? Thats your current price. `o` is open. `ch` is change in percentage. Developers building real-time price tickers or simple alert systems can pull this endpoint every few seconds. Its robust, its reliable, and it just works. For more detailed API usage and other crypto endpoints, check out our crypto API documentation.

TOTAL3 Analysis: Why the Signals Contradict

Now, lets talk about TOTAL3 itself. The current price is $699,724,950,842. We've got a "Strong Sell" signal overall, with a signal score of -73.7. Thats pretty bearish. But then, the "Price Action" is listed as "Bullish". What gives? This is where market data gets messy and you need to build your own logic. The candle pattern is a "Shooting Star", which is a bearish reversal signal. So that lines up with the "Strong Sell". But then you look at the oscillators. The ADX is at 16.0927, which is a "Strong Buy". How can something be a strong buy and a strong sell at the same time? The Ultimate Oscillator is "Neutral" at 46.5024, so no help there. Moving Averages are screaming "Sell". EMA 200 is at 815161389378.28 and EMA 100 is at 758725008507.21. Both are significantly above the current price, indicating strong overhead resistance and a downtrend. Both are "Strong Sell" signals. Bollinger Bands tell us the middle band is at 714664639162.76, and TOTAL3 is at 27.73% position, meaning its closer to the lower band. Volatility is "High" with an ATR% of 2.5345. High volatility combined with a position near the lower band, thats usually not a good sign if youre bullish. This is the kind of data developers need to integrate into their models. You dont just take one signal. You take all of it, process it, and make a decision. The raw data is there for you to build your own "Crypto Total Market Cap Excluding BTC and ETH, $ analysis" tools.

Building a Live TOTAL3 Price Tracker with WebSocket

For applications that need continuous, ultra-low-latency updates, like a real-time price ticker or a high-frequency trading bot, REST API polling just isnt enough. Thats where our WebSocket API comes in. Instead of constantly making requests, you establish a single connection, and the server pushes data to you as soon as it changes. This dramatically reduces overhead and ensures you get updates instantly. Think about building a dashboard where you want to see the "Crypto Total Market Cap Excluding BTC and ETH, $" price update tick by tick. Polling every second would quickly exhaust your rate limits and create unnecessary network traffic. A WebSocket connection stays open and streams data. Here's a conceptual Python example for how you'd subscribe to TOTAL3 updates via WebSocket: ```python import websocket import json API_KEY = "YOUR_FCSAPI_KEY" SYMBOL = "TOTAL3" # WebSocket endpoint structure might vary, check docs for exact format # This is a conceptual example based on common WebSocket API patterns WS_URL = f"wss://fcsapi.com/api/v3/forex/ws?access_key={API_KEY}" def on_message(ws, message): data = json.loads(message) if data and data.get("s") == SYMBOL: # Assuming 's' is the symbol field in WS messages print(f"Real-time update for {data.get('s')}: Price {data.get('c')}, Change {data.get('ch')}%") # You would parse this and update your UI or trigger trading logic def on_error(ws, error): print(f"WebSocket Error: {error}") def on_close(ws, close_status_code, close_msg): print("WebSocket connection closed") def on_open(ws): print("WebSocket connection opened. Subscribing to TOTAL3..") # Send a subscription message, actual format depends on API # Example: ws.send(json.dumps({"action": "subscribe", "symbols": [SYMBOL]})) # For FCSAPI, usually just connecting with the symbol in URL is enough for many streams if __name__ == "__main__": ws = websocket.WebSocketApp(WS_URL, on_open=on_open, on_message=on_message, on_error=on_error, on_close=on_close) ws.run_forever() ``` With WebSocket, your application is always up-to-date. No more guessing if your data is stale. This is critical for any "Crypto Total Market Cap Excluding BTC and ETH, $ prediction" model that needs to react instantly. Our API pricing plans offer different tiers for WebSocket access and higher rate limits, so you can scale as your project grows.

Historical Data and Broader Market Coverage

Beyond real-time, you also need historical data for backtesting. You cant build a reliable trading strategy without seeing how those indicators performed in the past. Our historical endpoints let you pull minute, hourly, or daily data for TOTAL3 and thousands of other assets. And its not just crypto. FCSAPI offers 2000+ forex pairs and 125,000+ stocks. If you're building a multi-asset platform, you can get all your data from one place. Its a huge advantage for developers who dont want to integrate with five different providers. You can find more articles and analysis on our blog.

My TOTAL3 Forecast 2026: The $698 Billion Support

Okay, so what's my take on "Crypto Total Market Cap Excluding BTC and ETH, $"? Despite the "Bullish Price Action" and that ADX "Strong Buy", the weight of evidence points down. The "Strong Sell" overall signal, the Shooting Star candle, and especially those EMAs being so far above current price are hard to ignore. The Bollinger Bands are showing high volatility and the price is near the lower band, which is bearish. Looking at the pivot points, the Camarilla S1 is at $698,126,114,206.61. The Demark S1 is slightly lower at $690,113,576,517.5. These are key "Crypto Total Market Cap Excluding BTC and ETH, $ support resistance" levels. The 1-month low was $684,721,553,986, so theres historical precedent for it to drop lower. My opinion? The immediate "Crypto Total Market Cap Excluding BTC and ETH, $ target price" is the Demark S1. I think TOTAL3 is heading to $690,113,576,517.5. If you're building a trading bot or a financial application, getting clean, fast market data is non-negotiable. Start with our free tier to test the waters, especially for the REST API. When you need that sub-second latency for real-time applications, upgrade to a paid plan for WebSocket access. Get your free API key at FCSAPI and try it yourself.