Channel
@botico_live
On this record: Growth · Engagement · Reactions · Posts · Cite this entry
102subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001984711049 |
|---|---|
| Type | Channel |
| Username | @botico_live |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/botico_live |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 03:56 | 102 | +3 |
| 15 Aug 2026, 17:36 | 99 | +2 |
| 9 Aug 2026, 12:01 | 97 | no change |
| 7 Aug 2026, 20:28 | 97 | first reading |
20 posts held, back to 31 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 20 (31 May 2026 – 9 August 2026) |
| Views total | 172 |
| Reactions total | 59 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 12:01 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
191 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 41.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 79 | 41.4% | |
| 🔥 | 39 | 20.4% | |
| 👍 | 35 | 18.3% | |
| 🎉 | 15 | 7.85% | |
| 😍 | 11 | 5.76% | |
| 🤔 | 9 | 4.71% | |
| 👻 | 3 | 1.57% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 20 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 191reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 31 May 2026 to 9 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
$BOTC is now listed on Coinscope. The Botico utility token is officially on the map. What is $BOTC? The native token of the Botico ecosystem. Built on BNB Chain. Fixed supply of 21 million tokens. No inflation. No surprises. Presale is live — Stage 1 at $0.11 KYC ✅ Audit ✅ This is early. Presale Stage 1 won't last. 🔗 token.botico.ai
🎉5👻1🔥1
300+ coins. One bot. Botico connects to Binance Spot and gives you access to over 300 trading pairs. From the blue chips: BTC, ETH, SOL, BNB, XRP, AVAX, LINK, DOT To the momentum plays: PEPE, WIF, BONK, FLOKI, DOGE To the ecosystem bets: SUI, INJ, OP, ARB, NEAR, SEI, AAVE And everything in between: RENDER, POL, CAKE, BCH, LTC, ZEC, TRX, MATIC Build a strategy on any of them. Backtest it on real historical data.…
👍4❤2😍1
Your bot just closed a trade. Did you know? With Botico's Telegram Notifications you get instant alerts straight to your Telegram — no need to keep the platform open. Connect your Telegram account once and get notified when: — Your bot opens a trade — Your bot closes a trade — Stop Loss or Take Profit is triggered — Your paper trading bot makes a move Setup takes 30 seconds: Settings → Notifications & Alerts → C…
❤8😍2🔥1
Your traded. Now where's the data? Data Download Center — Botico's reporting feature that puts your full trade history in your hands. Filter by exactly what you need: — Time Range: Last 24 Hours / 1 Week / 1 Month / 3 Months / 6 Months — Strategy: filter by specific strategy — Exchange: Binance or Bybit — Market, Currency, Candle Size, Trading Mode — Status: filter by trade outcome Then choose your format: PDF —…
❤7🔥2😍2
You just set up your bot. Now what? Meet AISHA — the AI assistant built into Botico. Not a generic chatbot. AISHA knows your account, your bots, your strategies. Ask her anything about your setup and she answers based on your actual data. What you can ask: — "How to quick start?" — "Which one of my agents is performing the best?" — "What is crypto trading strategy?" Setting up your first bot and don't know where…
❤5🔥2😍2
Bybit is now live on Botico. If you've been waiting to run your strategies on Bybit — the wait is over. Same platform. Same bot setup. Same backtesting. Now on two of the biggest exchanges in crypto. What this means: Connect your Bybit account via API — same process as Binance Run any bot, any strategy, on Bybit markets Backtest on Bybit data Full risk management — Stop Loss, Take Profit, Position Sizing One pla…
❤4🎉4🔥4
Big week for traders. We've been heads-down shipping: Bybit is now live alongside Binance, copy trading is here — mirror top-performing strategies with one click, and our strategy library keeps growing: pick, backtest, deploy. Subscriptions are live too — start free, upgrade when you're ready to scale. Why it matters: less manual setup, more ready-made strategies to put to work, on the exchange you already use. W…
❤2
Not every bot should sell the same way. Botico gives you three Sell Types — each built for a different trading style. 📦 Multi-Buy / Single-Sell Buy multiple times as signals trigger, sell everything at once on a single exit signal. Built for accumulation strategies — keep adding to your position, exit clean in one move. 🎯 Bracket Order Buy on signal, then place both Stop Loss and Take Profit at once (OCO — One Canc…
❤9👍4🔥1🤔1
A good strategy can still blow your account. If you don't control how much you risk per trade. That's what Risk Management in Botico is for. Before you launch any bot, you create a Risk Config — a reusable profile that defines three things: ⚖️ Position Sizing — 2.5% How much of your balance goes into each trade. Fixed percentage keeps your exposure controlled on every signal. 🎯 Take Profit — 3.0% The target where …
👍6🔥1🤔1
Your strategy made money. But how do you know if it was skill or luck? Profit Factor gives you the answer in one number. The formula: Gross Profit ÷ Gross Loss = Profit Factor Here's how to read it: Below 1.0 — your strategy loses more than it earns. Stop. 1.0 to 1.5 — breakeven zone. Needs improvement. Above 1.5 — solid. Your winners outweigh your losers. Above 2.0 — excellent. Strong edge in the market. Real exam…
👍4❤2🤔2🔥1
Before you put real money on the line — let the bot prove itself first. That's exactly what Paper Trading is for. In Botico you can run any bot in two modes: Virtual Money — the bot trades with simulated funds. Real market data, real signals, real execution logic. Zero actual risk. Real Money — the bot connects to your Binance account and trades live. The rule is simple: never skip Virtual Money. Here's why: Even a…
❤4🔥3👍2
Same market. Same period. Three different strategies. We ran Momentum Alpha, EMA Crossover Pro, and RSI Scalper through Botico's Compare Simulations and put the results side by side. Here's what the data showed: Momentum Alpha → Net Profit +$1,240 / Total Return +12.4% EMA Crossover Pro → Net Profit +$580 / Total Return +5.8% RSI Scalper → Net Profit +$3,150 / Total Return +31.5% ✅ Same market. RSI Scalper returned…
❤2👍1🤔1
Showing the 12 most recent of 20 posts we hold for @botico_live. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Botico.ai” (@botico_live), 102 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/botico_live.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.