如何在 TradingView 中编写指标（附示例和交易设置）

//@version=5
indicator("EMA Crossover + RSI Filter", overlay=true)

// Inputs
shortLen = input.int(9, "EMA Short Length")
longLen  = input.int(21, "EMA Long Length")
rsiLen   = input.int(14, "RSI Length")
rsiThresh = input.int(50, "RSI Threshold")

// Price
price = close

// Indicators
emaShort = ta.ema(price, shortLen)
emaLong  = ta.ema(price, longLen)
rsi = ta.rsi(price, rsiLen)

// Signals
bull = ta.crossover(emaShort, emaLong) and rsi > rsiThresh
bear = ta.crossunder(emaShort, emaLong) and rsi < rsiThresh

plot(emaShort, color=color.blue)
plot(emaLong, color=color.orange)
plotshape(bull, title="Long", location=location.belowbar, color=color.green, style=shape.labelup, text="LONG")
plotshape(bear, title="Short", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT")

// Alerts
alertcondition(bull, title="Long Alert", message="LONG_SIGNAL")
alertcondition(bear, title="Short Alert", message="SHORT_SIGNAL")

//@version=5
strategy("EMA Crossover Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=1)

// inputs ...
// (same indicators as above)
shortLen = input.int(9, "EMA Short Length")
longLen  = input.int(21, "EMA Long Length")
rsiLen   = input.int(14, "RSI Length")
rsiThresh = input.int(50, "RSI Threshold")

price = close
emaShort = ta.ema(price, shortLen)
emaLong  = ta.ema(price, longLen)
rsi = ta.rsi(price, rsiLen)

bull = ta.crossover(emaShort, emaLong) and rsi > rsiThresh
bear = ta.crossunder(emaShort, emaLong) and rsi < rsiThresh

if bull
    strategy.entry("Long", strategy.long)
if bear
    strategy.entry("Short", strategy.short)

// Example Stop Loss / Take Profit
strategy.exit("Exit Long", from_entry="Long", loss=100, profit=200)
strategy.exit("Exit Short", from_entry="Short", loss=100, profit=200)

{"symbol":"BTCUSDT","action":"LONG","price":"${close}","timeframe":"1m","strategy":"EMA_CROSS_V1"}

sudo apt update
sudo apt install -y python3 python3-venv python3-pip
python3 -m venv venv
source venv/bin/activate
pip install flask ccxt

from flask import Flask, request, jsonify
import ccxt, os, hmac, hashlib, time

app = Flask(__name__)

API_KEY = os.getenv("EXCHANGE_API_KEY")
API_SECRET = os.getenv("EXCHANGE_API_SECRET")

exchange = ccxt.binance({
    'apiKey': API_KEY,
    'secret': API_SECRET,
    'enableRateLimit': True,
})

@app.route('/webhook', methods=['POST'])
def webhook():
    data = request.json
    # simple validation: check data presence (use HMAC in production)
    if not data:
        return jsonify({"error":"no data"}),400

    symbol = data.get("symbol")
    action = data.get("action")
    qty = data.get("qty", 0.001)

    try:
        if action == "LONG":
            order = exchange.create_market_buy_order(symbol, qty)
        elif action == "SHORT":
            order = exchange.create_market_sell_order(symbol, qty)
        else:
            return jsonify({"error":"unknown action"}),400
        return jsonify(order)
    except Exception as e:
        return jsonify({"error":str(e)}),500

version: '3.8'
services:
  app:
    build: .
    restart: always
    environment:
      - EXCHANGE_API_KEY
      - EXCHANGE_API_SECRET
  nginx:
    image: nginx:stable
    volumes:
      - ./nginx/conf.d:/etc/nginx/conf.d
      - ./certs:/etc/letsencrypt
    ports:
      - "80:80"
      - "443:443"

[Unit]
Description=Trading Webhook Bot
After=network.target

[Service]
User=trade
WorkingDirectory=/home/trade/app
Environment=EXCHANGE_API_KEY=your_key_here
Environment=EXCHANGE_API_SECRET=your_secret_here
ExecStart=/home/trade/venv/bin/gunicorn -w 4 -b 127.0.0.1:5000 app:app
Restart=always

[Install]
WantedBy=multi-user.target

sudo systemctl daemon-reload
sudo systemctl enable --now tradebot.service
sudo ufw allow 443/tcp
sudo ufw allow 80/tcp