NickAI

Meet NickAI. The first agentic trading operating system. Build AI agents that trade crypto, stocks and prediction markets 24/7. No code. No emotion. Multi LLMs consensus. Institutional grade, backed by @galaxyhq Coming onchain, powered by @snapshotlabs Try it today: getnick.ai Comment “NickAI” to get free credits.

The ETH/BTC ratio drifts and reverts. That is a tradable signal, but only if someone is watching it consistently. A quant desk would charge you five figures a year for this signal. Someone built a NickAI template that runs on autopilot, for free. Every night at 21:30 UTC, it: 1. Pulls 90 days of daily OHLCV for ETH and BTC from CoinGecko and Binance. 2. Computes the ratio's z-score and the 20 and 50 day moving averages. 3. Labels the regime (ETH_OVERVALUED, FAIR_VALUE, ETH_UNDERVALUED). 4. Rotates 25% of the overweight position when the z-score crosses plus or minus 1.5. 5. Emails a full HTML report, whether it traded or not. Zero LLM calls. Pure statistical logic in one Python function node. Conditional guards so trades only fire when warranted. Persistent state so you can track regime shifts day over day. Clone it, point it at your own broker, and you have a daily rotation system that would have cost you a Bloomberg-tier subscription a decade ago. Try it for free now: getnick.ai

Watching individual tokens without tracking sector rotation is like reading economic data without knowing which industry it came from. The context is the alpha. This is a Bloomberg style sector rotation agent for crypto. For free. No $24,000 terminal. No exchange API keys. No Python notebook to babysit. You get: -100 days of daily OHLCV for 20 assets, pulled from Pyth Network. -Market cap and volume from CoinGecko. -Momentum scores and 20-day realized volatility, computed in Python. -Two parallel claude-sonnet-4.6 analysts: one on momentum and rotation, one on risk and volatility. -A third claude-sonnet-4.6 editor synthesizes both into a digest: headline, market regime, sector rankings, top picks, watchlist. -A formatted HTML report lands in your inbox before markets open. Try it for free now: getnick.ai

Single-model trading systems have a structural problem: they only see the market through one lens. A momentum model blows up in choppy conditions. A risk-focused model never pulls the trigger. A macro model misses short-term setups. This agent runs on 3 models. 1 vote. 0 trades unless 2 of 3 agree. -GPT-5 Mini covers momentum and trend. -Claude Sonnet 4.6 covers risk and market structure. -Grok-4 covers BTC/ETH cross-asset correlation. The rule is strict. Both the action (BUY or SELL) and the asset (BTC or ETH) have to match across at least 2 of the 3 models. Average confidence on the agreeing side has to clear 7 out of 10. If those conditions aren't met, the workflow logs the disagreement and sits out. When they are met, it sizes the trade at 5% of portfolio and executes. This is a complete agentic trading system with multi-model governance. Load it, no integration, no code, let three models debate, then watch the results. Try it for free now: getnick.ai

Most crypto scanners flood you with signals. This agent is designed to do nothing 90% of the time. Every 4 hours, the agent will: -rank 15 assets (majors, meme coins, DeFi tokens) by absolute price move -check RSI for exit signals on open positions -hand the full picture to Claude Sonnet 4.5 for one structured call: BUY, SELL, or HOLD with a conviction score. Below 8 out of 10 conviction, nothing happens. No forced trades. Most cycles end as a clean pass. At 8 or higher, the agent sizes the position at 3% of the portfolio, runs safety checks (no duplicate positions, minimum cash floor, no allocation above 10%), and sends a market order to your exchange. The interesting part is not the scanning. It is the constraint layer: -Sell candidates are always addressed before new buys. -The agent cannot override position rules. -The conviction gate filters most cycles to a clean pass. The workflow is designed to do nothing most of the time and act decisively when conditions align. That is what you actually want from an automated trader, and it is the part most people leave out. Run it on NickAI paper trading, switch to your exchange once you see the results, no code, no integration. Try it for free now: getnick.ai

Every trading day, there's a window between 7am and 9:30am where the right information changes how you see the open. Most people fill that window by manually scanning Yahoo Finance, Seeking Alpha, and MarketWatch. It takes 30-45 minutes and you still might miss something. The Agent in NickAI does the whole job: -Pulls the last 24 hours of articles across all three sources for the Mag 7. -Deduplicates the feed. -Classifies each story by impact tier and affected tickers -It pulls 10 days of price data and computes 1D and 5D returns plus distance to 52-week high for 9 tickers. -Claude then synthesizes a market narrative, ticker spotlights, and a forward-looking catalyst watchlist. Everything lands in your inbox or in your Telegram. No code. No exchange credentials. No brokerage integration. One-click template. Try it for free now: getnick.ai

Most crypto bots generate signals with AI. This agent uses AI as a risk filter, and the difference shows up in which trades it refuses to take. The BTC/ETH Pairs Trader (Paper Trading) Agent runs a z-score mean-reversion strategy on the ETH/BTC ratio. Every 6 hours, it checks whether ETH or BTC has diverged enough from its historical mean to trade. The agent rejects any trade where both assets are simultaneously overbought or oversold. That is a correlated market move, not a pairs divergence, and it is the exact edge case humans used to write brittle if-statements for. Test it with paper trading. Zero financial risk while you calibrate thresholds, study the decision trail, or fork the workflow. Try it for free now: getnick.ai

The VIX tells you what kind of market you're in. Most investors ignore it until it's too late. 90% equities when VIX is calm. 10% when it panics. The portfolio rebalances itself. Most investors only check the VIX after they've already taken the hit. This agent checks it every afternoon, classifies the market into one of four regimes, and adjusts a SPY/BND allocation to match: -VIX 5-day MA below 16: 90% equities -16 to 25: 60/40 -25 to 35: 30/70 (defensive) -35 and up: 10% equities, near-full bonds There's a second guardrail. If VIX is above its 1-year 90th percentile AND SPY is below its 50-day moving average, allocation steps down to at least defensive, regardless of where the 5-day average sits. Stress signal overrides the smoothed signal. The interesting part isn't the rules. It's that the rules run without you. No checking charts at 3:55pm. No second-guessing during a spike. The agent already decided what "10% equities" means before you needed to feel it. Try it for free now: getnick.ai

CRYPTO MACRO BRIEF AGENT -100 days of BTC/ETH/SOL OHLCV. -Hourly funding rates and open interest across every exchange. -Liquidation data. -CoinGecko global dominance. -DXY, 10-year yields, and Fed Funds from FRED. -Four Claude analysts arguing about it. Get this Bloomberg level pre market read in your inbox automatically. No trading signals. No noise. Structured macro context so you can think clearly about what is actually driving markets. Try it for free now: getnick.ai

MA crossover bots get chopped in sideways markets. Most trend-following systems break in one of two ways. Either they fire on every MA crossover and get chopped to pieces, or they need someone watching the close every day to stay sane. Neither survives contact with a real schedule. This SPY Trend-Following Agent takes a different route. Once a day it pulls 60 days of SPY candles, reads your portfolio, and hands the whole picture to Claude. The model checks the SMA20/SMA50 crossover, RSI14, and current position, then picks one of three things: LONG, FLAT, or HOLD. RSI above 80 forces cash regardless of what the trend is doing. Nothing executes unless the model explicitly authorizes the order. Every decision gets logged with the indicator values that drove it, so you can audit any call after the fact. Don't be surprised: the boring part is the point. No rules engine to babysit. No dashboard to refresh. No 4pm panic. Just a structured signal to make orders only when one is warranted. No code. No API. Just load the template and walk away. Try it for free now: getnick.ai

ANTI CROWD FOLLOWING AGENT When funding rates hit extremes, the crowd is over-committed. And the crowd is usually wrong. When BTC funding hits 0.02%, the crowd is leaning so hard one way that the trade usually unwinds. So we built an agent to systematically take the other side. Every 4 hours, it pulls live funding rates from CoinGlass across all exchanges. Elevated at 0.005%, extreme at 0.02%. Then Claude runs a structured confirmation pass. The Agent only greenlights trades where confidence reaches 7+ out of 10. Exits are rule-based, not vibes: 3% take profit, funding normalization, or a 15% portfolio-weight cap. Deploy on paper trading to test, plug in your exchange later to build real performance record with zero capital at risk. No code. No integration. 2mn setup. Try it for free now: getnick.ai

SETUP AN AI HEDGE FUND IN 2MN Single-signal Agents will get wrecked when the market regime shifts. This AI Hedge fund has 4 Agents: 3 AI analysts, 1 risk officer, 0 trades unless they agree. GPT reads funding rates and trend structure. Claude reads RSI and SMA crossovers. Gemini reads crowd positioning and contrarian signals. A vote layer aggregates their calls, measures consensus, and surfaces dissent. The Chief Risk Officer reviews the debate, and issues EXECUTE, HOLD, or VETO with position sizing baked into the decision rules. No single model makes the call. That's the point. This means fewer trades, but higher quality. Designed to survive drawdowns that kill single-indicator systems. Backtested across 2018-2024 including COVID crash and 2022 bear. Test it in 2mn on paper trading. No code. No API. Try it for free now: getnick.ai

MAG 7 DAILY ROTATION CLAUDE AGENT The Mag 7 don't all move together, and equal-weighting them means you're always holding the laggards. This agent runs daily momentum rotation across AAPL, MSFT, GOOGL, AMZN, NVDA, META, and TSLA. Every day it scores all seven on a momentum + RSI composite, identifies the leader, checks your portfolio, and decides whether to rotate, add, or hold. Before any order goes through, Claude reviews the signal and has to return EXECUTE with a confidence of 6 or higher. If it disagrees or the conviction is low, nothing trades. Either way you get a Telegram alert with the decision and the reasoning. Test it on our paper exchange, no real capital, full visibility into how the signal behaves over time. Simply switch it to your favorite exchange when you want to trade live. Try it for free now: getnick.ai

Every morning there's a window where prediction markets are wrong. News broke. The crowd hasn't caught up. That's the edge. NickAI's Polymarket Signal Scanner finds it automatically. 9am daily: Perplexity scans breaking news for live events with uncertain outcomes. A python script hits the Polymarket API for matching markets. Claude synthesizes it all into a signal report with direct market links. Delivered to Telegram before you start trading. No code. No API setup. No browsing. No missed setups. Load the template, it runs itself. Try it for free: getnick.ai

This is how you build an agent that runs three AI analysts to allocate your portfolio on Mag 7 stocks. Same model. Different temperatures. Different personalities. One is conservative (temp 0.0). One is moderate (0.2). One is aggressive (0.5). Every morning at market open they each rank the Magnificent Seven using 60 days of OHLCV + technicals. Then Borda count decides who wins. Not the stock one analyst loves and two hate. The stock all three consistently rank near the top. Delta-based execution. $5 dust threshold. Cash-aware scaling. The variance comes from deliberate configuration, not model switching. One click setup. No code. No API. Try it now for free: getnick.ai

Most bots trade too much. This agent barely trades at all. Two AI models (Claude Sonnet 4 + GPT-4o) analyze BTC/SOL in parallel. Both need 75% confidence to trade. You get the full reasoning. Your agent can decide to trade or no trade on its own. Setup: 100 hourly candles from CoinGecko. RSI + SMA deviation computed. Models vote independently. Consensus required. 10% position sizing. Start with paper trading, switch to a live exchange later on. Most signals get rejected. The ones that pass are worth watching. No code. No API key. Ready to use in 2 minutes. Try it for free now: getnick.ai

Trade BTC with a three-layer consensus agent. First model reads technicals. Second model cross-checks derivatives positioning. Risk gate caps exposure if the data doesn't align. No single point of failure. This is what you get out of the box: • Layer 1: Claude Sonnet 4 reads EMA(9/21), RSI(14), rolling price → returns LONG or FLAT with conviction • Layer 2: GPT-4o Mini cross-checks against live Coinglass derivatives (funding, OI, long/short ratios, liquidations) → confirms, reduces, overrides, or flips • Layer 3: Deterministic Risk Gate → if trend + risk-adjusted momentum + directional volume don't all clear thresholds, caps BTC exposure at 50%. No negotiation. No code. Customize at will by describing what you need. Try it for free now: getnick.ai

@_Niss0 This project feels clean and thoughtfully built ✨

@getNickAI This project feels clean and thoughtfully built ✨

How to build a trading agent to manage a Growth vs. Value ETF rotation strategy? Just describe your strategy: First, pull 120 days of daily candle data for $IWF (iShares Russell 1000 Growth) and $IWD (iShares Russell 1000 Value), then compute a momentum ratio between the two: track which factor has been outperforming over the trailing window. From that ratio series, calculate a z-score to determine whether the current Growth/Value spread is statistically significant enough to act on. If the signal is neutral, do nothing. Then, fetch my live portfolio: current positions, cash balance, and net worth. Figure out exactly how much of each ETF I should hold given the signal. Target a 99% allocation (keeping a 1% cash buffer) and only rebalance if the drift from target is large enough to justify trading costs. Make sure to handle two separate orders: sell the underperformer first, then buy the outperformer with the proceeds. Gate each trade behind its own conditional check, if Trade 1 doesn't execute, still check whether Trade 2 makes sense independently. Finally, at the end of every run, send me an email telling me exactly what happened, both trades executed, only one trade executed, or no rebalance needed, with full position and order details included. Run it every monday. That's the power of @getNickAI. Zero code needed. Deploy in minutes. Fully auditable. Try this workflow for free now: app.getnick.ai/workflow/share…

Don't limit yourself, power your trading strategy with LLM Consensus. With NickAI, you can run your strategy through multiple LLMs simultaneously. Create a signal, analyze it, set your threshold. 3 out of 4 LLMs agree? Execute. Try it now: getnick.ai

@BiiGMYLES Would love to hear what changes you have in mind. Feel free to share here or DM 🤝

@getNickAI Waiting to hear from you

@BiiGMYLES Appreciate that Feedback like this is super valuable. Would love to hear what changes you have in mind. Feel free to share here or DM 🤝

@getNickAI I love the concept but we should really consider making very important adjustments and changes of few things