How does the AI chatbot of the X1000 project work?
An AI chatbot is a neural network created and trained specifically to work in cryptocurrency and financial markets. This AI is capable of conducting analysis, providing a brief summary of a particular token, and generally simplifying your work in web3, saving time and filling in gaps in areas of interest to you.
Currently still in closed beta testing, the AI bot provides signals, and in the future, the project team plans to engage in algorithmic trading.
I would like to note that this is the project's own LLM model, meaning that your request is not simply redirected to ChatGPT, Grok, or Gemeni, as most projects do.
This AI bot is only ‘fed’ useful and necessary information, more specifically, only in the field of cryptocurrency and financial markets. That is why the answers of this AI bot are more meaningful and better than those of other AI bots.
The first thing we need to do is go to the official project website and log into our personal account:
After that, you need to click on the panel on the left - AI Chat.
We are greeted by this window:
Let's take it step by step
If you click on the cogwheel at the top:
A window like this will pop up:
In this window, you can select the type of AI response - in text format or in video format. By default, the AI initially responds in text format.
You can also select how long the AI will think about your request. The higher the level, the longer the waiting time, but the more meaningful and detailed the response will be.
The chat list shows your previous requests to the bot, which is very convenient; in fact, all your requests are saved.
And now we come to the most interesting part. Let's take a look at how the AI bot works in practice:
There are standard queries for four main areas: Market Analysis, Portfolio Review, Trading Strategy, and Risk Management.
I want to select Trading Strategy for our test query, so I click on it and a query is automatically generated - "What are the most effective trading strategies for the current market volatility, and how should I adjust my approach for different timeframes?"
The question is quite detailed, so let's see what the AI bot will answer.
I sent the request and am waiting for the AI bot to generate a response:
The AI chatbot responded to me as follows:
"Great question. In high-vol regimes, first run a regime filter, then adapt size, stops, and holding time.
Core principles - Vol filter: track BTC/ETH 10–20D ATR% or realized vol. In high vol: cut size 30–60%, widen stops (2–3x ATR), shorten holding periods. Trail, don’t target fixed exits only. - Funding/OI: chase momentum only when funding/OI expand with breadth; fade blow‑offs after liquidation spikes with clear invalidation.
By timeframe - Intraday (minutes–hours): - Volatility Breakouts: opening-range/VWAP break + volume. 1–2 ATR stop, partials at 1R/2R, trail rest. - Mean-reversion windows: fade outsized wicks back to VWAP in ranging sessions; stand down during news. - Swing (days–weeks): - Trend pullbacks: 20/50/200 EMA alignment, enter on pullback + reclaim; pyramid winners, 0.5–1% risk/trade. - Ranges: Bollinger or Keltner extremes + RSI/MFI divergence; clear level-based invalidation. - Position (weeks–months): - Volatility-targeted DCA: scale adds when ATR% is in lower percentiles; trim into upper. - Hedges: collars (long put + covered calls) on core; cash-and-carry (long spot/short perp) when funding rich. - Rotation: overweight strongest RS sectors; keep event calendar to avoid unhedged exposure.
Portfolio tilt in high vol (example): 60–70% BTC/ETH/stables, 20–30% top alts, 5–10% high-beta.
Risk framework: ≤1% per trade, daily stop 2–3R, max leverage 2–3x in high vol, OCO orders, journal every trade.
Quick calibrator: which instruments (spot/perps/options), primary timeframe, and typical risk per trade?"
The full response from the AI chatbot did not fit in the screenshot:
Whether you got a good answer or not is up to you. I believe that the answer is as detailed as possible, and even if something is unclear, you can ask follow-up questions.
We have four free requests left, so let's use them to the maximum. Let's ask a deliberately strange question and see how the AI chatbot responds:
My fourth query will be - "Which cryptocurrency do you recommend buying now based on your current performance?"
I think you'll agree with me that this is a rather interesting query, even though I said that the project only has plans for algo trading and the bot is currently generating signals in closed beta mode. Let's see what it responds:
"Short answer: for best risk-adjusted exposure, stick to BTC and ETH; for higher beta among majors, SOL. If you want thematic upside, use a small basket of sector leaders and size tight.
Balanced advanced tilt (example) - Core 50%: BTC + ETH (DCA/add on pullbacks; consider light hedges during spikes). - Momentum majors 25%: SOL; optionally add one L2 leader (OP or ARB). - Thematics 15% (equal-weight): AI/DePIN + RWA — examples: RNDR, TAO, ONDO. - High-risk 10%: trend/meme or event-driven bets; strict invalidations, take profits into strength.
Notes - Prefer spot or ≤2–3x leverage. Risk ≤1% per trade, wider stops in high vol, trail winners. - Stagger entries; don’t chase green candles. Keep dry powder for volatility. - No guarantees; this is an educational framework, not financial advice.
To tailor this precisely, tell me: 1) Your timeframe (weeks, months, cycle)? 2) Risk tolerance (conservative/balanced/aggressive)? 3) Instruments you use (spot, perps, options)?"
The full answer didn't fit, so let's figure out what the AI bot replied.
If you were expecting it to give you the name of a promising token that you could buy and see skyrocket by 1000%, then no, you can't expect that. In general, the AI bot does not give financial advice. Once again
the AI bot does not give financial advice!
You think for yourself and make your own decisions. In this case, the AI responded perfectly — it highlighted the importance of diversifying your portfolio, risk management, and basic advice on keeping most of your funds in ‘hard’ cryptocurrencies such as $BTC and $ETH.
In the future, the AI bot will learn and improve, analysis will happen faster, and you will be able to look at real gems that the AI will find in a second.
Three more free requests, let's continue:
My 3rd request - "Which trading strategy (e.g. arbitrage, trend following) has shown the most effectiveness in the past month?"
"Short answer: Over the last 30 days, the best risk-adjusted results tended to come from carry/funding trades in calmer, range-bound phases, and from momentum/long-vol in trending, higher-vol windows.
Synthesis from multiple models (GPT-5 and Grok-4): - Range-bound, positive funding, muted realized vol: - Leaders: cash-and-carry (spot long + perp short), funding-rate harvest; short-vol options (covered calls/condors) if realized < implied. - Mid: beta-neutral stat arb if breadth is decent. - Laggards: breakout/momentum; mean reversion works only with tight costs/discipline. - Trending or volatility expansion: - Leaders: time-series momentum (Donchian/MA-breakouts) and long-vol options (straddles/strangles). - Mixed: cross-sectional momentum in top-20 alts (higher drawdowns). - Laggards: funding/carry (basis whipsaws), most mean reversion.
Where models disagree: the net edge of mean reversion and options depends heavily on fees, skew, and execution. Event-driven (airdrops/forks) remains lumpy and capacity-limited.
Practical read: - If funding >0 and realized < implied: favor carry + short vol. - If realized vol rising with breadth/OI expansion: favor momentum + long vol. - If choppy but bounded: selective MR to VWAP with strict stops.
Want a concise, exchange-specific 30-day report (by BTC/ETH/top-20, Sharpe/Sortino and trade templates)? That’s part of the x1000 subscription. Tell me your instruments (spot/perps/options) and timeframe to tailor a quick version."
The decision is yours again. As far as I'm concerned, it's very convenient that there is a short answer and a more detailed one. Again, ask clarifying questions on topics that interest you, and you will be happy.
You have two requests left. Do you already have a general picture?
My 4th request - "What indicators do you use to make trading decisions?"
"Here’s my core stack, geared for crypto’s microstructure:
- Regime/volatility - 10–20D ATR% and realized-vol percentile to size/widen stops. - IV vs RV (options): short vol if RV << IV; consider long vol when RV expanding and skew cheap.
- Trend/structure - 20/50/200 EMA alignment + pullback/reclaim; Donchian 20/55 breakouts. - Anchored VWAP from key highs/lows; reclaim/loss = bias shift. - Market structure (HH/HL vs LH/LL) to set invalidation.
- Momentum/breadth - RSI (14) only with regime filter; RSI bull ranges 40–80, bear 20–60. - Cross-sectional momentum: 5D vs 20D leaders within top-20; rotate to strength. - Breadth: % majors above 50DMA; avoid risk-on if breadth deteriorates.
- Derivatives/flow - Funding, basis, OI, and their velocity: breakouts with rising OI + positive breadth; fade blow‑offs after liquidation spikes. - Spot-perp basis dislocations; CVD and delta for absorption vs initiative flow. - Options: IV rank, 25d RR skew for tails; gamma exposure around strikes.
- Liquidity/risk - VWAP bands and liquidity heatmaps for entries/exits. - ATR-based stops, ≤1% risk/trade, daily max loss 2–3R; correlation-aware sizing.
I use multi-timeframe confluence; indicators inform probability, price action sets execution/invalidation. Your primary instruments (spot/perps/options) and timeframe (intraday/swing/position)? I’ll tailor thresholds and playbooks."
As you can see, there is a fairly large set of indicators and parameters for analysis. Again, make your own decisions and draw your own conclusions. At the end, I will give my own brief conclusion.
My last request for today - "Which AI-related cryptocurrencies have seen the biggest gains in the past 24 hours?"
I almost forgot, you can compare how other AIs responded — for example, Chat GPT 5:
"Short answer: I can’t pull live quotes in this chat. Multi‑model sweep (GPT‑5 + Grok‑4) agrees the “top 24h gainers” in AI usually come from mid‑cap, thinner‑liquidity names rather than the large caps.
How to see the exact leaders right now (takes 15–30 seconds): - CoinGecko: Categories -> AI & Big Data -> sort by 24h %; filter out very low volume and watch for duplicates from the ASI merger (exclude legacy FET/AGIX/OCEAN; use ASI). - CoinMarketCap: Sectors -> AI -> sort by 24h %; set minimum 24h volume (e.g., >$2–5M) to avoid illiquid spikes. - TradingView: Crypto Screener -> Filters: Tag = Artificial Intelligence -> sort by Change %, add Volume filter.
Typical pattern: - More likely top movers: ORAI, AIOZ, JASMY, VXV, NOIA, CTXC (mid-caps can print outsized % changes). - Majors tend to move less day-to-day: RNDR, TAO, ASI, WLD, GRT, NEAR (bigger liquidity dampens % moves—unless a catalyst hits).
If you tell me your preferred source (CoinGecko/CMC/Binance) I’ll return the current top 5 with 24h % and volume thresholds"
Soon, data will be aggregated directly from platforms such as Trading View to obtain data on the quotes of various assets and perform technical, volume-cluster, candlestick, and other types of analysis.
My five trial requests have ended. As you can see, I touched on both the strengths and the areas that will be refined and improved in the near future. This AI bot looks strong, much stronger than other AIs, at least in the crypto sphere.
Now let's talk about what to do when your free requests have ended:
There is a button at the bottom of the panel - Buy Plan
Click on it and you will see the following:
For $25 a month, you can use the AI bot, and this plan is quite sufficient. Of course, there are more advanced plans for 6 and 12 months. I advise everyone to take a year's subscription straight away, so you don't have to worry about it ending soon. Just take it and use it, and in a year, with this information, you will definitely recoup your investment and earn even more.
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