//WhY_We_BuILT_Copilot+

Retail traders—often labeled as “Dumb Money”—are losing by design.

They’re not underperforming because they’re undisciplined. They’re under-equipped.

Here’s why retail can’t compete with Smart Money (often referred to as Wall Street or Institutional Capital):

They don’t have institutional backing or access to insider liquidity networks.
They aren’t plugged into ultra-low latency servers colocated near Wall Street’s exchanges.
They don’t have $100K+ quant teams running Ph.D.-level algorithms.
Their tools are scattered, delayed, and built without real-time synthesis in mind.

This isn’t a matter of effort.

Retail traders are some of the most relentless learners in the market—watching webinars at 2AM, toggling between chart setups, trying to decode institutional footprints without ever having set foot on an institutional desk.

But no amount of hustle can compensate for a lack of infrastructure.

And making things worse?

The retail world has become a breeding ground for misinformation, recycled indicators, and self-proclaimed “gurus” promising six-figure days from three-click setups.

Signals are sold like snake oil. Courses are overpriced. Bootcamps offer more branding than edge.

Retail traders are spending thousands of dollars on mentorships, following out-dated YouTube content, guru lead trading discords, and one-size-fits-all PDFs that never evolve, never adapt, and never deliver.

In many cases, the only ones profiting are the ones selling the dream—not those chasing it.

It’s a noisy, crowded, unregulated Wild West where trust has become a casualty—and precision is nowhere to be found.

This is not a market problem. It’s a systems problem.

Retail doesn’t need more signals.

Retail needs structure. Clarity. Cognition.

That’s why we built Copilot+.

To bring order to the chaos.

To shift the equation.

We’re giving traders what they’ve never had: a real-time, AI-powered Intelligence Suite that decodes market structure, smart money behavior, and volatility cues—with context, speed, and voice-based insight.

This isn’t another signal. It’s synthetic cognition, designed to think like a trader, adapt like an analyst, and speak like a mentor who understands risk, structure, and bias in real-time.

We’re not just closing the gap.

We’re turning retail into the next generation of Smart Money.

And we’re doing it on the platform they already use—TradingView—with zero friction, zero gatekeeping, and full cognitive support.

Because in this market, information is no longer enough.

Interpretation is the edge.

And Copilot+ is the first retail-native system that can deliver it—tick by tick.

The proprietary trading industry is valued at $20B (2025), with the forex prop segment alone projected to grow from $5.76B to $14.46B by 2033—a 10.9% CAGR. That’s $14.46B in new growth, pushing the total projected value to $34.46B+—not including expansion into crypto, equities, or futures. This explosive scale-up demands AI-native tools like Copilot+, built for the next generation of funded, performance-driven traders.

//MaIn_StReET_NeEdS_An_EdGe

Artificial intelligence is fundamentally reshaping the global economy.

Entire industries are being automated, with jobs once considered secure now rapidly disappearing. From customer service to logistics, finance to creative services, AI has begun displacing roles faster than most individuals can adapt.

In this new environment, millions of everyday people—often referred to as “Main Street”—are searching for new sources of income and autonomy. Increasingly, many are turning to retail trading and proprietary firms as a pathway to financial independence.

Funded accounts, performance-based payouts, and the flexibility to work from anywhere have positioned prop trading as a viable alternative to traditional employment. But while access has improved, the tools available to these traders have not.

Retail traders are still relying on outdated platforms, lagging indicators, and educational content that doesn’t reflect the realities of modern markets. They are expected to compete against institutions armed with algorithmic trading, machine learning, and infrastructure operating at milliseconds.

This creates a significant gap—not in motivation or talent—but in tooling.

That’s where Copilot+ comes in.

We designed Copilot+ specifically for the post-AI economy:

A fully integrated, real-time, AI-native trading system that empowers retail traders with tools historically reserved for institutional desks.

With smart money tracking, market structure analysis, and adaptive learning models, Copilot+ delivers the precision, clarity, and speed retail traders need to make informed decisions in complex markets.

Main Street doesn’t just need another charting tool—it needs a strategic edge.

Copilot+ is that edge.

“The future of AI is not about replacing humans—it’s about augmenting human capabilities.”

— Sundar Pichai, CEO of Google

“One thing that I really believe is deploying AI as a tool that significantly increases individual ability… is a very good strategy for our current situation.”

— Sam Altman, CEO of OpenAI

“AI will not replace humans, but those who use AI will replace those who don’t.”

—Ginni Rometty, former Chairwoman, President, & CEO of IBM

//CoPiLoT+_iS_Live_&_It'S_HeRe

Copilot+ is not just the first AI-native Intelligence Suite built inside TradingView—it’s a breakthrough in what’s possible with PineScript itself.

TradingView was never designed to house AI.

PineScript was built for rules, not reasoning.

But we challenged that boundary—and we crossed it.

We engineered a modular Intelligence Suite with over 30 proprietary systems, then embedded it directly into a language designed for fixed outputs.

But we didn’t stop at logic.

To truly bring AI into this environment, we had to create a communication bridge—a way for deterministic systems to speak the language of large language models.

So we built an AI bridge from Copilot+ with our custom ChatGPTs powered by OpenAI with our JSONs:

• CopilotLiveJSON™ — a real-time structured output that interprets what’s happening in the market as it happens

• CopilotJournalJSON™ — a memory layer for context-aware feedback, journaling, and learning loops

These weren’t just integrations.

They were architectural breakthroughs—a data layer that allows ChatGPT, Claude, and future LLMs to interact with live market dynamics inside a system that was never built for it.

For the first time, a trader using TradingView can engage an AI Copilot—tiered to their experience level—and receive real-time insights, context, and feedback on what smart money is doing right now.

This means second-level decisions with AI context.

This means watching a CHoCH or BOS form—and hearing your Copilot explain what it means.

This means trading with clarity that adapts as fast as the market moves.

We didn’t just bend the PineScript engine—we evolved it.

• From fixed logic to fluid interpretation

• From static alerts to conversational strategy

• From visual indicators to cognitive overlays

And the result isn’t just innovation.

It’s usability. It’s edge. It’s a suite that thinks, speaks, and learns—in real time.

Why It’s a First

• First PineScript-based Intelligence Suite

• First real-time AI bridge for retail traders inside TradingView

• First system to translate market data into structured outputs usable by LLMs

• First to tier Copilot personalities based on trading profile and cognitive need

Copilot+ didn’t just bring AI into PineScript.

It brought understanding into the market.

Retail traders no longer need to guess, hesitate, or interpret on instinct.

Now they can engage an AI that sees what they see—and helps them make the call.

Copilot+ is here.

Not as a feature.

But as a force.

And with over 50 million users on TradingView—the world’s leading charting platform—this is only the beginning.

“We built an AI-powered Intelligence Suite inside the logic framework of Pine Script—never designed to handle cognition—and then bridged that system to real AI in the real world, making live trading decisions possible for retail traders following Smart Money.”

— Branden Patterson, CEO of Beyond Intelligence AI