Zero manual effort
The bot runs autonomously 24/7. Dmitri has not manually posted a signal in months.
Illustrative scenario · Pro Plan — $79/mo
Running a 500-Member Telegram Trading Channel with Bot Alerts
A trading community leader automated signal generation and delivery for a growing Telegram channel, replacing hours of manual analysis with zero-effort automated alerts.
CommunityPython · Telegram Bot API4 endpoints used
500+Members
0Manual Effort
24/7Alert Coverage
ProPlan used
The challenge
What the workflow looked like before the API.
Dmitri ran a Telegram trading community that grew to 500+ members. The channel's value proposition was timely trading signals based on technical analysis. But as membership grew, so did expectations: members wanted signals around the clock, not just during Dmitri's active hours. Manually analyzing charts and posting alerts was becoming a full-time job that left no time for his own trading.
The solution
Move the calculation behind one request.
Dmitri built a Telegram bot that queries the /v1/screener endpoint every hour for H4 RSI below 30. The screener filters on one indicator, so for each symbol it returns the bot fetches the MACD and ADX values from /v1/indicator and applies the rest of his criteria — MACD crossover confirmed by ADX above 25 — before posting a formatted alert to the channel.
python Telegram Community
# Hourly scan
screener_data = api.get("/v1/screener", params={
"indicator": "RSI_14",
"max_val": 30,
"timeframe": "H4"
})
# data.results -> [{symbol, value, bid}, ...]
for row in screener_data["data"]["results"]:
detail = api.get("/v1/indicator", params={
"symbol": row["symbol"],
"indicator": "ADX",
"timeframe": "H4"
})
telegram_bot.send_message(
chat_id=CHANNEL_ID,
text=format_alert(row, detail)
) The results
What changed in the scenario.
The figures below describe this worked example as written, not a measured outcome from an identified account.
Consistent signal quality
Every alert meets the same objective criteria. No emotional or fatigued analysis.
Community growth
The reliable, around-the-clock alerts attracted 200+ new members in three months.
Revenue opportunity
Dmitri launched a premium tier with additional signals and commentary, funded by the time savings.
About these figures. These case studies are illustrative implementation scenarios, not audited customer references. The people named in them are composite personas, no company is identified, and every figure describes the scenario as written rather than a measured result from an identified account. The endpoints, parameters and architectures are real and documented; the outcomes you would see depend on your own workflow, configuration, market coverage and surrounding application.
Endpoint toolkit
The primitives this workflow is built from.
Every scenario combines a small set of endpoints. The implementation changes; the contract stays predictable — HTTP requests, JSON responses and an API key.
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Power Your Community with Automated Signals
Pro plan: 100,000 req/day, 600/min rate limit, 10 API keys. Every account starts pay-as-you-go with $2.50 of credit.