Ai Viral
Paid
Indie SaaS founders shipping with tools like Lovable or Cursor
Tradie Capital
PaidAgentic
Most traders run a charting tab, a backtesting script, a spreadsheet for Greeks, and a separate alert tool — and none of them talk to each other. Tradie is built to collapse that stack into a single workspace where the AI builds, backtests, and monitors strategies without requiring you to write a line of code.
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Screenshots 5
Summary
Describe a strategy in plain language and Tradie's AI constructs it, runs it against historical data across stocks, options, crypto, forex, and indices, then surfaces optimization variants ranked by backtest metrics. The options workspace is the sharpest differentiator: live Greeks, payoff diagrams, probability of profit, and strike controls live on one screen with 58 pre-built multi-leg templates. The chart itself becomes the alert layer — trend flips, adaptive trails, and volume signals render on price, not in a separate dashboard. The ceiling appears when you need execution: Tradie is a strategy-development and monitoring environment, not a brokerage bridge, so live trading requires an entirely separate infrastructure. Teams that need automated order routing will hit that wall fast.
Bottom line: Pick Tradie if you need to go from strategy idea to backtested, paper-traded signal without writing code — but plan a separate execution layer the moment you want automated live orders.
Pricing Plans
SubscriptionLast verified 3 days ago- Price
- $39/month
Starter
$39per month
For active individual traders
- 1,000 credits per month
- 20 saved strategies
- 100 backtests per month
- Spot and options workflows
- Saved-strategy monitoring
- Excel exports
Pro
$79per month
For serious active traders
- 3,000 credits per month
- 75 saved strategies
- Unlimited backtests
- Portfolio analytics
- Advanced optimization
- Python and Pine exports
Elite
$199per month
For professional quant teams
- 10,000 credits per month
- Unlimited strategies
- Unlimited backtests
- Highest priority AI
- Notebook exports
- Advanced analytics and exports
View full pricing on tradiecapital.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
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Pros
- Natural-language strategy construction drives the full build-and-backtest cycle autonomously, so traders without coding experience can produce backtested strategies that would otherwise require a Python developer.
- 30+ backtest metrics with AI-ranked optimization variants, which means you see not just whether a strategy worked historically but which parameter changes improve it — without running manual permutations.
- Options workspace combines live Greeks, payoff diagrams, probability of profit, and 58 multi-leg templates on a single screen, so you avoid the spreadsheet-and-chain-tab juggle that causes calculation errors under time pressure.
- Chart-native signal rendering — trend flips, volume behavior labels, Monte Carlo scenario paths, and social signals pinned to price bars — so you review context and confirm entries without switching windows.
- Coverage across stocks, ETFs, options, crypto, forex, and indices in one workspace, so backtesting a strategy across asset classes does not require rebuilding it in separate tools with incompatible data formats.
Cons
- Tradie has no API and no execution bridge, which means every live trade still requires a manual step in a separate brokerage interface. Teams building automated order-routing systems will need to reconstruct the strategy logic outside Tradie entirely — at which point they are maintaining two systems and the value of the workspace collapses.
- The platform is cloud-only with no self-hosted option, so teams with data residency requirements or institutional compliance constraints that prohibit sending market analysis to third-party cloud infrastructure cannot use it at all — and will move to a self-hosted quant framework instead.
- Historical data depth varies by asset class: the docs describe 5+ years for US equities and 10+ years for forex, but no depth figure is stated for crypto or indices. Strategies that require longer lookback windows for regime analysis — particularly crypto cycle research — will hit a data ceiling that is not adjustable.
- Credit-based usage metering means heavy backtesting iterations across multiple assets and timeframes burns through the monthly allocation. Teams doing rapid strategy sprints across a broad universe will need to track credit consumption as a production constraint, not just a billing detail.
About
- Platforms
- Web (browser-based); supports Windows, macOS, Linux via web interface
- API Available
- No
- Self-Hosted
- No
- Last Updated
- June 10, 2026
Best For
Who it's for
- Active individual traders seeking AI strategy development
- Serious amateur traders with limited coding experience
- Quant teams and professional traders needing rapid iteration
- Options traders building and testing multi-leg strategies
- Traders backtesting across multiple asset classes in one workspace
What it does well
- Build and backtest mean-reversion or trend-following strategies without coding
- Optimize trading strategies across multiple assets and timeframes
- Monitor live signals and paper-trade strategies before live deployment
- Analyze options strategies with real Greeks and probability of profit
- Scan market structure and volume behavior for trade entry confirmation
Integrations
Frequently Asked Questions
- Is Tradie Capital free?
- Tradie Capital is a paid tool ($39/month). No permanent free tier is offered.
- What platforms does Tradie Capital support?
- Tradie Capital is available on: Web (browser-based); supports Windows, macOS, Linux via web interface.
Stop stitching together tools that were never designed to share context. Tradie takes a natural-language strategy description and runs the full development cycle autonomously: it builds the strategy logic, backtests it across years of historical data with 30+ metrics, iterates on weak parameters, and then monitors live market conditions against that strategy — all inside one workspace. The vendor states the path from idea to backtest takes roughly 30 seconds. The AI copilot is workspace-aware and multi-turn, so it reads your chart, your active indicators, and your conversation history rather than treating each question as isolated.
The feature that separates Tradie from generic charting tools is chart-native signal rendering. Support and resistance levels are drawn live with touch counts and confidence scores. Scenario paths — upside, expected, downside — are projected using Monte Carlo simulation directly on the price chart. Volume behavior is classified into participation regions, failed zones, and confirmed-breakout labels. Social signals from Twitter are verified, classified, and pinned to the specific price bar they moved. None of this lives in a second screen or a separate dashboard.
Tradie fits active individual traders and quant teams that need to iterate on strategy ideas fast without a full coding infrastructure. The options workspace specifically — with interactive Greeks, payoff visualization, and probability of profit — addresses a gap that spreadsheets and read-only chain views leave open. The hard boundary is execution: Tradie is cloud-only with no public API and no self-hosted option, which means it has no path to automated live order routing. Teams that want the strategy to fire orders autonomously must build that bridge themselves, outside Tradie entirely. For traders who need a backtesting and signal-monitoring environment and are comfortable handling execution elsewhere, the gap is manageable. For teams whose end goal is a fully automated system, it is a structural limitation that will force a parallel architecture.
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