Most bots fire on rules. Vektor argues. Three independent AI agents debate every setup and vote before a single order moves. 92 markets, 24/7, so you don’t have to watch.
Every setup gets interrogated before it fires. Most get rejected. That's the point.
10 parallel layers — VWAP, vol delta, MACD, TTM Squeeze, market structure, liquidity sweeps, OBV+CVD, Supertrend+Pivots, pre-market range (stocks), ATR+funding — produce 43 dimensions per symbol before any AI call runs.
Every symbol is classified A/B/C by live win rate. Proven performers scan every cycle. Underperformers rotate or get excluded entirely — re-evaluated every 50 trades.
DeepSeek pre-screens with all 43 dimensions + live news context. ~22 → 4–8 high-probability candidates. Saves ~.50/scan. Bad news upstream kills bad setups before expensive AI runs.
DeepSeek (50%), Technical (40%), GPT-4 Vision (10%) vote independently — all with full indicator wiring. News/regime confidence penalties applied. Platt calibration corrects overconfidence from model scores at 50+ trades.
Claude writes the strongest bear case against each trade before deciding. Default is scrutinise, not approve. APPROVE / REJECT / REDUCE_SIZE — with bear case logged for every signal. Portfolio-aware: concentration, correlation, drawdown context.
R:R gate (TP/SL ≥1.5:1), regime alignment, unknown regime block, drawdown confidence boost. Position sized by 7 multipliers: volatility, regime, asset class, OI liquidity, indicator alignment, drawdown scalar, MTF confidence.
Three independent AI agents score each candidate from different angles. Their weighted scores combine, then news and regime penalties are applied, then Platt calibration corrects model overconfidence. Only setups clearing the tightened threshold proceed — then Claude writes a mandatory bear case before approving, rejecting, or sizing down each trade.
Every retail platform claims “AI” and “news sentiment.” Here’s what that actually means — and what Vektor does differently.
| Manual Trading |
Generic Bots |
● Vektor | |
|---|---|---|---|
| Trades 24/7 without fatigue Always-on executionVektor runs continuously on a dedicated VPS. No sleep, no distractions, no missed setups at 3am. Every market session covered automatically. | ✕ | ✓ | ✓ |
| Multi-agent AI consensus MOAT 3 independent AI agents voteDeepSeek Strategy (50%%), Technical Indicators (40%%), and GPT-4 Vision (10%%) score every candidate independently. No agent sees another's output — eliminating groupthink. Weighted scores must clear a dynamic threshold (65%%+, tightened on drawdown). No retail bot uses multi-agent consensus. | ✕ | ✕ | ✓ |
| 43-dimension signal enrichment MOAT 8 parallel layers, zero AI costBefore any AI agent runs, 8 enrichment layers compute 43 dimensions per symbol: VWAP, volume delta, MACD+StochRSI+TTM Squeeze, market structure (HH/HL/LH/LL), liquidity sweeps, OBV+CVD, Supertrend+Pivots, and pre-market range for stocks. All local — no cloud API cost. Generic bots use 3–5 indicators; Vektor uses 43. | ✕ | 3–5 indicators | ✓ |
| Regime-aware strategy switching Per-asset-class market contextClassifies conditions per asset class (strong bull, bull, neutral, bear, strong bear, choppy) and adjusts trade bias — long-only in bulls, short-only in bears. Per-asset-class regime filtering blocks volatile assets in uncertain conditions. | ✕ | ✕ | ✓ |
| Multi-timeframe confirmation gate 4h/1h/15m must agreeBefore any trade fires, the 4-hour trend must align with the trade direction. If the higher timeframe opposes, the trade is blocked entirely. 15-minute opposition applies a confidence penalty. Eliminates noise trades that look good on one timeframe but fail on others. | Manual | ✕ | ✓ |
| Circuit breakers & drawdown limits Portfolio-level auto-stopDaily loss limit pauses new entries. Max drawdown halts the system. Dynamic risk tightening raises thresholds and shrinks Kelly sizing as drawdown increases. Telegram alert on every trigger. Generic bots have per-trade SL; Vektor has portfolio-level protection. | Manual | Basic SL | ✓ |
| Self-improving meta-learner MOAT Gets smarter from every tradeGradientBoosting (batch) + SGD (online) models run in parallel. The batch model retrains on history; the online model updates after every closed trade. SHAP feature importance explains which indicators drove each prediction. No retail bot learns from its own live trades. | ✕ | ✕ | ✓ |
| GPT-4 Vision chart recognition MOAT AI sees the actual chartBefore every entry, a live candlestick chart is rendered with indicators and sent to GPT-4 Vision. Identifies patterns (head & shoulders, channels, wedges), support/resistance levels, and visual structure. No other retail bot sends live charts to a vision model. | ✕ | ✕ | ✓ |
| Adversarial final gate (APPROVE / REJECT / REDUCE) MOAT Mandatory bear case before every tradeClaude must construct the strongest argument against each trade before deciding. Sees concentration, drawdown %%, regime, correlation, and all 43 enrichment dimensions with directional conflict detection. APPROVE / REJECT / REDUCE_SIZE. Bear case logged per signal. | ✕ | ✕ | ✓ |
| Directional news intelligence MOAT No bot does this natively18 signed directional keyword buckets (~300 keywords) cover oil/gold/crypto/macro. G7/IEA/SPR reserve releases score oil bearish. DeepSeek applies 30+ event-bias rules. Context injected upstream — filters setups before costly AI analysis runs. | ✕ | ✕ | ✓ |
| On-chain verifiable live trading MOAT Publicly auditable performanceLive trades execute on Hyperliquid — an on-chain perpetuals DEX. Every entry, exit, PnL and fee is recorded on-chain and publicly verifiable. No other retail bot offers cryptographically provable trade history. Paper trading claims are easy to fake; on-chain trades are not. | ✕ | ✕ | ✓ |
| Professional-grade risk & execution engine 10 systems working together
| Partial | Partial | ✓ |
From symbol tier filtering to contrarian Claude gate — every v2 layer documented in detail. Including 7-factor Kelly sizing, dynamic TP widening, and Platt calibration.
Vektor v2.0 launched March 15, 2026 — a full quant overhaul with corrected indicator wiring, R:R gating, symbol tier filtering, 7-factor Kelly sizing, and contrarian Claude validation. Stats below reflect v2 trades only.
Pre-v2 history (32 trades, −$78.56) is preserved as training data and excluded from displayed metrics.
Test any strategy configuration against historical market data before going live. The example below uses illustrative data — real backtesting is in active development.
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⚠ Risk Disclosure — Trading perpetual contracts, leveraged instruments, and other derivatives involves a substantial risk of loss and is not suitable for all investors. Leverage magnifies both potential gains and losses, and you may lose more than your initial deposit. Past performance of any strategy, signal, or algorithm — including any results displayed on this platform — is not indicative of future results and provides no guarantee of profitability.
Vektor is an automated research and execution tool. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any instrument. All trading decisions and their consequences are the sole responsibility of the user. You should only trade with capital you can afford to lose entirely, and you should seek independent financial advice if you are unsure whether trading is appropriate for you. By creating an account and using this platform, you confirm that you have read, understood, and accepted this disclosure in full.