How to Start Your Own Signal Service

We didn’t start with automation.
We started with trading. Then made it scalable.

If you’ve got a trading strategy and want to share it — not as some half-baked guru but as a clean signal service — this guide is for you.

We’ll show you how we did it, what went wrong, and how you can replicate it without spending a fortune or losing your mind.

STEP 1: START WITH REAL TRADING

We’ve all been trading for over a decade.
Before we ever wrote a line of code, we ran our strategies manually.

The system that would become SAF2 which went public as he first signal service we opened for the public? It started with private signals.
Every signal was validated — not just by us, but also by a second layer: AI.

Here’s what we did:

• Strategy triggers a trade alert (price pattern, candle, indicator — you name it)
• AI interprets relevant data/news and gives a pass/fail
• Human (us) reviews both signal + AI rationale
• Then, and only then, we acted

We ran like this for months — quietly, privately, logging everything.

STEP 2: AUTOMATE (BUT DON’T RUSH IT)

Once we saw our strategy hit consistently — confirmed by both human and machine — we began automating.

But we didn’t chase perfection.

We didn’t tweak parameters until we had 99.9% backtest wins.
That’s how you overfit your strategy into a grave.

Instead, we made sure:

• The system placed trades exactly where we would have
• Even bad trades were placed for the right reasons
• There was no optimization bias — just real-world logic

Historical data helped us stress-test.
But we never trusted backtest profitability.
If your system only works in hindsight, it’s not a system.

STEP 3: LIVE SYSTEMS ON REAL ACCOUNTS

Once automation was built, we ran it live.

On real money. On three exchanges:

• Binance Futures
• KuCoin Futures
• OKX Futures

That’s when the edge cases started showing up — the weird stuff:

• Position sizes randomly shrinking because of decimal rounding
• Missed trades because of rate limits
• Human error in code causing wrong position sizing on the best setups

And yes — our worst memory was watching small winners with small sizes and full-size losers.
That's a rite of passage.

But we fixed it.
We hardened the systems.
And eventually, they ran clean.

STEP 4: FROM SYSTEM TO SIGNALS

Once our systems were stable and trading correctly, we flipped the switch:
We started sending out signals.

Here’s how to do it yourself — step-by-step.

HOW TO CONNECT YOUR PYTHON SYSTEM TO TELEGRAM

1. Create a Telegram bot

Go to Telegram and message @BotFather

• /start
• /newbot → follow prompts
• You’ll get a bot token (save this — it’s your API key)

1. Get your chat ID

• Create a Telegram group
• Add your bot to the group
• Send a message
• Use https://api.telegram.org/bot<YOUR_TOKEN>/getUpdates
• Look for chat.id in the JSON

1. Store bot credentials safely

In your Python project, use environment variables:

export TELEGRAM_TOKEN=your_bot_token
export TELEGRAM_CHAT_ID=your_group_id

Or use a .env file with python-dotenv.

1. Send signals from Python

Use requests to send messages:

import os
import requests

token = os.getenv("TELEGRAM_TOKEN")
chat_id = os.getenv("TELEGRAM_CHAT_ID")

message = (
    "📢 New Signal:\n"
    "🔸 Asset: BTCUSDT\n"
    "📈 Direction: LONG\n"
    "🎯 Entry: 63,200\n"
    "🎯 Take Profit: 65,500\n"
    "🛑 Stop Loss: 61,800\n"
    "⚖️ Risk:Reward = 2.15"
)

url = f"https://api.telegram.org/bot{token}/sendMessage"
payload = {"chat_id": chat_id, "text": message, "parse_mode": "HTML"}
requests.post(url, data=payload)

Make it prettier with emojis. Structure your messages cleanly — clarity builds trust.

STEP 5: TEST IN PRIVATE FIRST

Don’t start public.

Make a private Telegram group. Add your bot. Add your team.

Let the bot run for a few weeks. Track missed signals, message delays, formatting issues. Clean it up.

Once it runs like clockwork — then open it up.

STEP 6: KEEP IT CLEAN

Signal services live or die on two things:

• Consistency
• Transparency

Don’t hide red days. Don’t delete trades. Don’t sell mindset. Just raw signals. Win or lose.

If you do the same, people will notice.

SUMMARY

To start your own signal service:

1. Trade your strategy manually
2. Validate it with logic and (optionally) AI
3. Automate only when you're ready
4. Run the system live on real money
5. Connect it to Telegram using a bot
6. Send clean, readable signals
7. Test privately
8. Go public when it’s stable

That’s it.