Scalping Strategies

┌─────────────────────────────────────────────────────────┐
│                    Scalping Bot                         │
│  ┌─────────────┐  ┌─────────────┐  ┌───────────────┐   │
│  │ Tick Monitor │  │ Indicator   │  │ Spread Filter │   │
│  │ (100ms poll) │  │ Poller (2s) │  │ (threshold)   │   │
│  └──────┬──────┘  └──────┬──────┘  └──────┬────────┘   │
│         │                │                │             │
│         └────────┬───────┴────────┬───────┘             │
│                  ▼                                      │
│          ┌──────────────┐                               │
│          │ Signal Engine │──▶ Execute via Broker API    │
│          └──────────────┘                               │
└─────────────────────────────────────────────────────────┘
                   │         ▲
                   ▼         │
          ┌──────────────────────┐
          │  TickAtlas API   │
          │  /v1/ticks           │
          │  /v1/indicator (M1)  │
          │  /v1/spread          │
          └──────────────────────┘

import requests, time

API_KEY = "your_api_key"
BASE = "https://tickatlas.com/v1"
headers = {"X-API-Key": API_KEY}
SYMBOL = "EURUSD"

def check_oscillator_state():
    # Read the current spread first; skip the sample when it is wide
    spread = requests.get(f"{BASE}/spread",
        headers=headers, params={"symbol": SYMBOL}).json()
    if spread["data"]["current"]["spread_pips"] > 1.5:
        return None  # spread wider than this sample's threshold

    # Get M1 RSI and Stochastic
    rsi = requests.get(f"{BASE}/indicator", headers=headers,
        params={"symbol": SYMBOL, "indicator": "RSI_14", "timeframe": "M1"}).json()
    stoch = requests.get(f"{BASE}/indicator", headers=headers,
        params={"symbol": SYMBOL, "indicator": "Stochastic_K", "timeframe": "M1"}).json()

    rsi_val = rsi["data"]["value"]
    stoch_k = stoch["data"]["value"]

    # Both oscillators inside their conventional oversold zone
    if rsi_val < 30 and stoch_k < 20:
        return "both oversold"
    # Both inside their conventional overbought zone
    if rsi_val > 70 and stoch_k > 80:
        return "both overbought"
    return None

# Poll once a minute — M1 values refresh on the bar
while True:
    state = check_oscillator_state()
    if state:
        print(f"{SYMBOL} M1: {state} (RSI and Stochastic agree)")
    time.sleep(60)