AI NinjaTrader

The platform, organized by what it does

Seven products, one workspace — each solving a specific problem with a genuine data source behind it.

01

Realtime Market Intelligence

Problem: Most tools show a lagging price feed and leave regime/trend context to you.

A direct Kraken WebSocket connection drives live BTC/ETH/SOL prices, with regime, momentum and market-structure evidence computed from genuine persisted candle history across 7 timeframes.

Source: Kraken public WebSocket v2 (realtime) + Kraken/Supabase persisted OHLCV (history)

Preview available in the platform
02

Indicator Intelligence

Problem: A single indicator is noisy; a wall of 100 unweighted indicators is unreadable.

100+ indicators are organized into evidence families (momentum, structure, liquidity, sentiment and more), each capped so no single correlated family can dominate the score.

Source: Computed from persisted Kraken candles every evaluation cycle

Preview available in the platform
03

Liquidity & Order Flow

Problem: Price action alone hides who is actually in control — buyers or sellers.

Order-book depth, spread and buy/sell volume pressure are tracked directly from genuine Kraken order-book snapshots, never estimated.

Source: Kraken order-book snapshots, persisted every minute

Preview available in the platform
04

News & Event Intelligence

Problem: Markets move on headlines faster than most dashboards refresh.

Live crypto news from CoinDesk, Cointelegraph and official exchange announcements is ingested, clustered, and scored for event risk against your tracked assets.

Source: Live RSS/announcement feeds — never simulated in production

Preview available in the platform
05

Confluence Engine

Problem: Different signals often disagree — regime bullish, liquidity weak, momentum flat.

Every evidence family is combined into one weighted, explainable score. A missing/unavailable evidence group is excluded and its weight redistributed — never defaulted to a fake neutral value.

Source: Regime + momentum + structure + liquidity + event risk

Preview available in the platform
06

Paper Trading & Risk

Problem: Testing a strategy with real capital is expensive and unforgiving.

A full simulated portfolio — position sizing, stops, targets, fees, funding and slippage estimates — lets you see how a signal would have performed with zero real capital at risk.

Source: Deterministic simulated ledger, paper trading only

Preview available in the platform
07

Performance Analytics

Problem: Did that signal actually work, or did it just feel right?

Track paper-trading performance, run A/B strategy benchmarks, and review signal outcomes over time.

Source: Computed from your own paper-trading and benchmark history

Preview available in the platform
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