The Beginning
Trade Echo was founded to level the playing field between retail and institutional traders by providing access to the same data and insights that professional firms use.
01/About
Institutional data, built for retail traders.
Trade Echo combines Option Flow, Dark Pool, Dealer Edge, and Algo Edge with community-driven education. The signal doesn't stop at raw data.
02/Timeline
Our story.
From idea to professional-grade platform in under two years.
November 2024 December 2024 Platform Launch
Launched the first version of the Trade Echo web terminal focused on Option Flow and real-time market data. Early retail traders joined from Discord and community word-of-mouth.
January 2025 Community Growth
Discord community crossed 5,000 active traders. Dedicated channels launched for SPY/QQQ trades, large prints, and daily market talk. Copy Trading and community features rolled out for sharing insights.
February 2025 Advanced Analytics
Integrated AI and machine learning capabilities including sentiment analysis, pattern recognition, and automated alerts. Members could build their own views of the flow with custom filters and strike-level screeners.
April 2025 Algo Edge Launch
Launched Algo Edge with algorithmic pattern detection, call/put ratio analysis, and momentum filters. Quantitative data analysis previously reserved for hedge funds.
August 2025 Cortex AI Integration
Cortex AI shipped. Ask the terminal what the flow is saying and get answers in seconds, with data from every Trade Echo module as context.
November 2025 Dealer Edge Launch
GEX heatmaps, gamma flip points, call walls, put walls, and anchor levels released. A full dealer positioning view replaces $699/mo competitors.
Q1 2026 Copy Trading Launch
Launched Copy Trading. Follow top-performing traders, view their activity, and get alerts when they open new positions. Optional brokerage linking for self-directed automation where available. 5,000+ active copy traders.
03/Mission
Our mission.
Democratize institutional-level trading insights. Give retail traders the same data and analysis tools that professional firms use to move with informed decisions.
One Connected Workflow
Traders shouldn't have to pay for one platform for flow, one for dealer levels, and another for community context.
Clarity Over Noise
We organize institutional signals so traders understand what matters faster instead of drowning in disconnected data points.
Community That Sharpens Execution
Beyond the platform, Trade Echo helps traders learn together, compare setups, and stay accountable.
04/By the numbers
Trade Echo in production.
50K+Options tracked daily
$2B+Options volume monitored
5,000+Discord community members
99.9%Platform uptime
05/Values
What we stand for.
Transparency
Every flow alert shows its source. No black box signals. You see exactly what triggered it and why. Real-time, sourced, verifiable.
Community
5,000+ traders in Discord sharing setups, analysis, and insights every day. Monthly trading competitions with $15,000+ in prizes.
Innovation
Dealer Edge, Algo Edge, Copy Trading, Cortex. We build what retail traders actually need. New features ship every month.
06/Community
Active Discord Community.
Connect with thousands of traders sharing setups, analysis, and real-time alerts. Algo Edge signal channels, market discussion, and a watchlist community. All in one server.
discord.gg/tradeecho
Two sides to the server. Signal channels stream alerts straight from Algo Edge. Community Hub is where traders actually talk.
Signal Channels
- #momentum-trades
- #spy-qqq-trades
- #large-trades
- #high-value-80
- #weekly-trades
Community Hub
- #market-news
- #stock-success
- #market-talk
- #stock-analysis
- #watchlist
07/Rumble
Monthly Trading Rumble.
Compete for prizes and prove your trading skills against the community. Ranked by community vote (65%), performance (25%), and participation (10%).
Runner-up
Monthly champion
Podium finish
08/Get started
See what Trade Echo looks like in your workflow.
Explore the full feature set, compare plans, and join the community combining institutional data with practical trading context.