Automated · ML-Driven · Always On

Signals you can verify.
Trades you don't have to.

Machine-learning trading models for US equities and crypto. Every signal arrives with its full backtest history, every parameter is yours to tune, and execution routes through TradersPost into your brokerage. You pick the strategy. The platform runs it.

78% avg strategy win rate
US equities + crypto
Auto-executed via TradersPost
NVIDIA · NVDA
NASDAQ · 1H timeframe
$875.30
+5.77% today
ML Model · Monitoring
BTC/USD
$67,420
+3.18%
PLTR
$88.60
+3.21%
ML models running
6 models · BTC, ETH, US equities
TSLA$241.80+4.52%
PLTR$88.60+3.21%
AAPL$189.42+2.14%
AMZN$184.72+1.33%
NVDA$875.30+5.77%
BTC$67,420+3.18%
ETH$3,512+1.90%
TSLA$241.80+4.52%
PLTR$88.60+3.21%
AAPL$189.42+2.14%
AMZN$184.72+1.33%
NVDA$875.30+5.77%
BTC$67,420+3.18%
ETH$3,512+1.90%
Methodology

From signal to filled order

Three stages, hands-off after setup. ML models produce signals, every signal carries its own backtest, and execution routes through TradersPost straight to your broker.

01
📡

ML signal generation

Trading models built and continuously refined with machine learning, covering US equities (TSLA, PLTR, AAPL, AMZN, NVDA) and major crypto pairs (BTC, ETH). Signals fire only when each model's parameters align.

02
📊

Live backtest verification

Every signal arrives with the full historical record attached. Win rate, profit factor, drawdown, and Sharpe — recomputed in real time as you tune the parameters. Nothing fires blind.

03

Execution via TradersPost

Signals route through TradersPost into your linked broker — Alpaca, Tradier, IBKR, and others. Orders go in with the entry, stop, and target already set. No webhook plumbing on your end.

Performance

Track record

Updated quarterly. Backtest methodology and raw signal logs available on request — every number here is reproducible from the same data feed.

0.0%
12-month return
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Win rate
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Profit factor
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Max drawdown
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Trades over 12 months
Coverage

Where we trade

Two asset classes, focused coverage. Every model is backtested per-instrument and validated against live performance before the parameters ship.

📈

US-Listed Equities

High-volatility names spanning multiple sectors — defense (PLTR), automotive (TSLA), cloud & retail (AMZN), consumer electronics (AAPL), and AI (NVDA). Diversified by design, with each model tuned to its asset's volatility profile.

TSLA · AutoAMZN · CloudPLTR · DefenseAAPL · ElectronicsNVDA · AI

Cryptocurrency

BTC and ETH on a 24/7 schedule. Models tuned to crypto volatility and round-the-clock liquidity. Execution runs continuously through TradersPost.

BTCETH+ more soon
Enterprise & B2B

For brokerages and platforms

Brokerages, asset managers, and fintech platforms run Quant3X strategies through the same TradersPost + Alpaca pipeline we use ourselves — under your brand, with SLA-backed support and a named partner team.

🔌
TradersPost + Alpaca routing
Signals route through TradersPost into Alpaca, IBKR, Tradier, and other supported brokers. No custom integration work on your side.
🏷️
White-label deployment
Offer Quant3X strategies under your brand. Co-branding, OEM licensing, and per-tenant configuration available.
🔒
Auditable execution path
Every signal-to-fill traceable end-to-end: model → bridge → broker. Full log export and reconciliation tooling.
📞
Dedicated partner support
Named account manager, prioritized response times, and structured onboarding with your engineering team.
TradersPost · Webhook Payload
{
  "ticker":     "NVDA",
  "action":     "buy",
  "orderType":  "market",
  "quantity":   100,
  "entry":      875.30,
  "stopLoss":   { "type": "stop", "price": 855.00 },
  "takeProfit": { "type": "limit", "price": 920.00 },
  "strategy":   "trend-breakout/1h",
  "sentAt":     "2026-04-23T14:32Z"
}
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FAQ

Common questions

Everything you need to know before getting started.

Get Started

Run a strategy.
Talk to us first.

Tell us what you trade, what broker you use, and we'll come back within a business day with a setup.

Enterprise enquiries — include your company name. Median response time is around 4 hours.