Public Product Build

Trend Rider is evolving from a Mission Control tab into a product designed to sell to real traders.

AI-powered market research and execution planning

One platform for charting, scanning, testing, alerting, and acting on the next move.

Trend Rider is built for active traders who want the power of advanced chart analysis, smart market discovery, no-code strategy testing, AI research assistance, and cloud-based alert workflows in one serious product experience.

Chart multi-timeframe structure, liquidity, and volatility context
Discover scanners, watchlists, and event-driven opportunity surfacing
Deploy alert logic, strategy workflows, and execution-ready planning
24/7

cloud monitoring across crypto, equities, forex, and futures workflows

AI-first

assistant-guided research, indicator building, and strategy exploration

No-code

scanners, alerts, and backtesting workflows designed for fast iteration

Trend Rider Trading Terminal

Live market workspace for charts, signals, scanners, and strategy design

Realtime simulation Cloud-ready

Price action + structure

BTCUSD perpetual futures

1H 4H 1D
Trend score 82 / 100
Risk / Reward 2.4R
Signal bias Bullish continuation

Idea generation

Smart scanner results

28 symbols matched
BTCUSD Breakout above anchored VWAP Trend 86
SOLUSD Momentum squeeze with rising volume Trend 79
NVDA Higher-low reclaim + earnings drift Trend 76
ETHUSD Rotation from value area low Trend 74
Filters

Multi-timeframe trend, relative strength, volume expansion, event sensitivity

Delivery

Email digests, dashboard widgets, saved lists, trigger hand-off to alert logic

Backtesting + AI model workflows

Strategy lab summary

No-code configuration
Win rate 58.4%

Across 1,284 simulated entries with volatility filters enabled.

Profit factor 1.92

Improved after removing low-momentum retests from the long model.

AI note Refine exits

Current system underperforms when trend score drops below 61 after entry.

Automation workflows

Alert logic and bot deployment

Cloud monitoring active
Multi-factor alert

Price above daily structure break, 4H RSI reclaim, and volume above 20-day baseline.

Execution hand-off

Trigger webhook, send mobile notification, route to strategy journal, and prepare order draft.

Bot rule set

Pause entries around macro events, widen stop logic during high-volatility sessions.

Context-aware research assistant

Trend Rider AI copilot

Context linked to chart
You

Show me bullish continuation setups with improving relative strength and macro tailwinds.

Trend Rider AI

I found 6 assets with aligned higher timeframes, 3 with event risk this week, and 2 that fit your low-chop breakout profile. BTCUSD remains the cleanest structure.

Trend Rider AI

I can now build an alert, save the watchlist, or convert this into a strategy test template.

Advanced charting Automated analysis Smart scanners Strategy testing AI market assistant Alerts & bots Custom indicators Broker-ready workflows
Product overview

Built around the workflows serious traders actually pay for.

Trend Rider is positioned as an all-in-one trading intelligence platform. The product architecture below is inspired by the capability mix leading platforms use today: market analysis, idea generation, strategy development, AI assistance, cloud alerts, automation, and execution planning.

Analyze

Chart technical, fundamental, and alternative context

Multi-timeframe structure, liquidity zones, event overlays, watchlist context, and high-signal indicator stacks in one view.

Discover

Find opportunities with scanners and smart watchlists

Search for setups using trend, volatility, sentiment, fundamentals, catalysts, and custom market conditions.

Refine

Build and test ideas without coding

Turn entry logic, exits, and filters into reusable backtests and strategy templates fast.

Automate

Monitor the market with cloud alerts and bots

Combine conditions across symbols, indicators, timeframes, and events, then push actions to mobile, email, or execution flows.

Core modules

A product stack that feels complete enough to sell, not just prototype.

01. Charting engine

Automated analysis that reduces subjectivity

Trend Rider combines dynamic trend detection, anchored studies, price structure mapping, signal overlays, and multi-timeframe analysis so traders can move from raw chart to usable decision faster.

  • Trendlines, support and resistance zones, liquidity and invalidation layers
  • Indicator stacks, heatmaps, event overlays, and confluence scoring
  • Crypto-first workflows with room to expand to stocks, futures, and forex
Signal score 82
Trend quality A-
ATR regime Expanding
Timeframes 1H / 4H / 1D
02. Discovery engine

Scanners and watchlists that surface quality setups

Use saved market screens, smart watchlists, and filtered idea feeds to turn an overwhelming market into a shortlist of actionable names.

  • Technical, catalyst, and relative-strength screens
  • Scheduled scans, saved workflows, and trader-specific dashboards
  • Ranking by confluence, event sensitivity, or regime fit
Momentum Breakouts12 matches today
Volatility Compression18 matches today
AI Ranked Rotation List7 high-priority names
Macro Event Watch4 names near catalysts
03. Strategy lab

Backtesting and AI-guided refinement

Trend Rider should help traders test ideas, compare scenario outcomes, and refine rules before real capital is involved.

  • No-code strategy builder for entries, exits, filters, and risk logic
  • Historical testing with scenario comparison and performance breakdowns
  • AI explanations that point to weak rules, overfit behavior, or better filters
Average return14.8%
Max drawdown-6.2%
Trade count1,284
Sharpe proxy1.61
04. AI assistant

Research help that actually understands the workspace

Instead of a generic chatbot, the assistant should be able to reason about the active chart, watchlist, scanner results, and strategy state.

  • Summarize trend structure, catalysts, and risk factors for a symbol
  • Create alerts, save watchlists, or suggest indicator logic from plain language
  • Explain backtest results and help refine scanners or trade plans
Prompt

Find strong continuation setups with improving 4H structure and moderate event risk.

AI output

3 high-conviction names surfaced, 2 require tighter invalidation, 1 fits your ideal breakout profile.

05. Alerts, bots, and execution planning

React faster without babysitting charts all day

Cloud-based monitoring is one of the most saleable parts of a platform like this. It lets traders define setups once and let the system watch the market continuously.

  • Single-factor and multi-factor alerts across timeframes and assets
  • Bot-style workflow rules for routing, pausing, and escalation
  • Execution planning tied to entries, targets, stops, and journaling
Scan Matchpasses watchlist filter
Alert Firessends mobile + desk notice
Review GateAI summary + order draft
Journallogs thesis and outcome
Why traders would pay

Trend Rider is being framed as a complete workflow, not a single widget.

Without an integrated platform

  • Charting in one app, scans in another, notes somewhere else
  • Alert logic disconnected from strategy testing
  • AI tools with no access to actual workspace context
  • Too many tabs, too much context switching, too much missed follow-through
Pricing

Positioned like a real premium trading product.

These plans are written to support public launch positioning now, while leaving room for future data, brokerage, and AI usage tiers.

Starter

Explorer

Free

  • Core charts and saved watchlists
  • Starter scanner library
  • Basic AI assistance quota
  • Manual trade planning workspace
Join waitlist
Desk

Team & Fund

Custom

  • Shared workspaces and desk-level process controls
  • Higher AI usage, more alerts, broader market coverage
  • Execution integrations and white-glove onboarding
  • Custom data pipelines and bespoke workflows
Talk to sales
FAQ

Questions a real buyer would ask before subscribing.

What is Trend Rider trying to replace?

Trend Rider is designed to replace the fragmented workflow of separate charting, scanning, alerting, AI note-taking, and strategy-testing tools by bringing them into one connected platform.

Which capabilities are being prioritized first?

The strongest first-wave value comes from charting, scanner workflows, AI context assistance, multi-factor alerts, and strategy testing foundations. Those are the most saleable pieces for an early public product.

Is the current terminal a real backend trading app?

Not yet. This build is a product-grade front-end direction and interaction model. It is deliberately structured so real data feeds, account flows, alerts, and app logic can be wired in next without redesigning the whole experience.

Can this support crypto and traditional markets?

Yes. The product is being framed crypto-first but broad enough to support equities, forex, and futures workflows as the platform grows.

Next move

Trend Rider now looks and reads like a product you can actually take to market.

The next layer is turning this product shell into a real application surface with live data, account flows, dashboards, and functional workspace modules.