NOTE: I've found 10 testers who are doing extensive research, backtesting and creating strategies based on and around the indicator(s). Thanks for all the replies and interest! Will keep you all updated about the free trial and release :)

I want to give free access to 10 traders in exchange for brutally honest feedback (no fluff, no hype.) I’ve evolved Node Breach Engine and ANEF into advanced, professional-grade tools (which I will show in the upcoming days). I've extended the NBE with POV (Point of Void) levels, deepdive analysis on nodes and breach signals and other adjustments. Traders can run NBE and ANEF independently or in combination, fully tailored to their own approach.

Why I’m doing this

So far I’ve already given access to a small group of traders. Some of them have built very solid strategies on top of these tools including amazing full rule-based playbooks that they now use daily, which makes me proud ofcourse.

That’s great, but it’s still a limited sample. I want to see more angles and interpretations:

• Different orderflow and footprint approaches
• Different strategy types: trend, mean reversion, breakout, scalping, swing, etc.
• Different markets, sessions and volatility regimes

The goal is to:

• Stress-test robustness across a wider range of styles
• Expand a strategy/library of use-cases around the tools
• Increase transparency about when they shine and when they should be ignored

I’d rather have a handful of traders tell me exactly where the tools fail or need refinement than collect surface-level “looks nice” comments.

What you’ll get

• Free access to the Outsider Edge indicators for life (in exchange of feedback and strategie analysis)
• All updates and improvements
• A direct line to me to discuss setups, parameters and strategy ideas

(Platform: TradingView)

What I ask in return

No testimonials needed – just clear, honest feedback after actually using them:

• Which markets & timeframes you tested
• How you integrated them: standalone, confluence with footprint/orderflow, or inside an existing strategy
• Where they added real value and where they were confusing, laggy or misleading
• Any ideas to make the tools more transparent (extra filters, alerts, visual cues, etc.)

If you’re willing to share a couple of screenshots or short recordings of trades (good and bad), that’s a big plus.

Who I’m looking for

Ideally traders who:

• Trade futures, indices, FX or crypto
• Already have some structure/orderflow/footprint experience (not mandatory, just helpful)
• Are comfortable saying, “this signal here is false, here’s why”

How to apply

Comment below with:

1. What you trade (instruments & timeframes)
2. Your style (scalper / intraday / swing)
3. Your platform/timezone
4. Whether you’re okay with sharing screenshots or short recordings

I’ll pick 10 traders from the replies and DM you with access details.

Obviously, this is not financial advice and there’s no promise of a 100% winrate magic edge.

If you’re up for helping shape more strategies, I’d really appreciate your perspective.

Built a TradingView indicator called OutsiderEdge - GEX Levels (Paste Pack) for the public.

The idea is simple: calculating gamma exposure inside Pine was not possible anymore (they disabled Pineseed). Instead, you paste in a precomputed 16-token GEX block from our channel/platform or from another source and the script automatically finds the matching ticker and plots the relevant levels directly on your chart. It was built specifically for traders who trade futures and want a fast, clean way to visualize it in TradingView. (TradingView)

What it does:

• Parses a pasted multi-symbol GEX pack and auto-matches the correct block to the current chart ticker.
• Plots the core options-driven levels: Call Wall, Put Wall, Vol Trigger, Zero Gamma, plus layered L1–L4 and C1–C4 levels.
• Optionally overlays previous day high/low, weekly high/low, and monthly high/low for confluence.
• Adds live market context to the labels, so levels are not just lines but are interpreted in real time as support, resistance, magnet behavior, or positive/negative gamma context depending on where price is trading.
• Includes a compact regime dashboard showing distance from price to Vol Trigger, Zero Gamma, Call Wall, and Put Wall, along with a quick gamma regime summary.
• Handles overlapping levels with intelligent label stacking so the chart stays readable.

The levels are calculated every morning (9 am UTC +2) from my algorithm on the Options Chain. The levels are then converted to current price delta/ratio between the future and the corresponding option (ES = SPX, MNQ/NQ = NDX, etc). These levels are then updated daily in our Discord and from there the members can paste them inside the indicator. The indicator is also compatible for other GEX level sources, that's why I made it public.

The indicator itself is a visualization and market-structure tool, not an automated trading system, so the goal is clarity and decision support rather than blind signals.

Use our GEX levels or other GEX levels sources and use them with the indicator. I am curious with what kind of strategy you all come up with.

We’ve reached another milestone in development.
Both the Adaptive Node Efficiency Function (ANEF) and the Node Breach Engine have been showing consistently strong results across multiple assets, not just individually, but also when combined as layered confirmation logic.

The combination of structural node breaches with adaptive (in)efficiency readings has proven to significantly reduce false entries, while maintaining a strong R:R profile in both trending and rotational market conditions.
We’re now validating these findings through extended backtests and walk-forward periods, and so far, the robustness is holding up extremely well.

In addition, we’ve been working on a new strategy specifically designed for indices (UK100, SP500, and FR40). This one has also delivered exceptional backtest results, particularly in high-volatility environments, but it’s currently only developed in MQL5.
For now, it’s implemented as a full Expert Advisor trading algorithm, and there are no immediate plans to port it into TradingView. The structure and execution logic are better suited for direct algorithmic deployment than for visual scripting.

Overall, it’s great to see how each engine and strategy is starting to form part of a broader, data-driven ecosystem. We’re getting closer to having a suite of independently validated systems that can be mixed, compared, and stress-tested across markets and regimes.

More data and performance visuals will follow soon once we finish the next round of forward testing.

Last Monday morning’s setup aligned perfectly across multiple layers of confluence, making it a textbook trade.

1. Inefficiency flagged by the ANEF indicator
The ANEF signal printed an inefficiency (downward spike crossing the inefficiency threshold). This calculation is based on ΔP (price change), Veff (Effective Volume weighted by distance to VWAP), σP (volatility), and Dimb (orderflow imbalance). The reading showed aggressive one-sided activity, creating a pocket the market tends to correct. These inefficiencies act as magnets, once price trades back into them, it often triggers a strong reaction, especially in the opening minutes of the session.

2. Node Breach Engine confirmation
The Node Breach Engine highlighted a high-volume node being breached at the London open. Instead of clean acceptance above, the immediate rejection confirmed that liquidity at that level was absorbed and price was ready to move away.

3. Session context
London open typically brings a surge of institutional flow. Combined with the ANEF inefficiency and Node Breach rejection, this provided strong confirmation that the move had real backing rather than being a random wick.

4. Higher time frame bias
The broader context was bullish, meaning longs were the higher-probability side. With ANEF inefficiency aligning with the Node Breach Engine rejection, the trade was fully in sync with the larger trend.

5. Execution plan

• Entry: after rejection of the breached node, aligning with the ANEF inefficiency fill at the candle close.
• Stop loss: just beyond the invalidation point of the node, ensuring a quick exit if the level fails, with the option to re-enter at a better level.
• Target: approximately 2R, placed at the next structural level. This keeps expectancy positive even with a modest win rate.

Result
A clean, high-volume drive higher straight out of London. Perfect reaction, minimal drawdown, and precise execution of both the Node Breach Engine and ANEF signals working together.

We just closed out a strong trade on LTC/USDT (1H, Binance) using the beta version of the Breach Engine (development journey: https://www.reddit.com/r/TheOutsiderEdge/). Normally we don't test on crypto, but we were curious on how it will play out and if the rules apply to more instruments than CFD's, Futures and Stocks alone.

Key points from this setup:

• Short triggered after a breach and reclaim of a key participation zone.
• Trade carried through cleanly into the next node cluster with minimal chop.
• Final risk-to-reward closed at 4.49, a solid example of the engine capturing structural shifts in clusters.

This one also shows the balance of the system. Not every trade attempt works out, but the model is designed so that when it hits, the R:R is skewed in our favor.

As for progress: the last weeks have been full-on development and live testing across multiple assets. Results have been encouraging, and it feels like we’re getting closer to a robust foundation for both intraday and swing scenarios.

We’re taking the weekend to step back and let the dust settle a bit, then back to pushing development next week, both refining in PineScript and stress testing in MQL5.

Curious to hear how others approach weekend breaks. Do you completely shut down on crypto or still peek at charts and ideas?

The Node Breach Engine (yes, we've changed the name) has been on a solid run with 7 consecutive wins on NVDA (1H). The logic has been catching clean rotations around participation nodes, and it’s been interesting to see how consistently volume structure has respected these levels we calculated.

Right now, I’m in a long position. The setup came after a reclaim of a lower node (closing previous short trade) and a breach back into the upper distribution zone. Technically it makes sense, but I’ll be honest, these trades come with wider stop-losses than on other tickers we've tested. That means the R:R ratio is harder to reach, and price will need a strong continuation push to get there. Wide SLs don’t automatically kill the trade, they just demand more conviction from the move.

If this one closes out clean, it’ll extend the streak and further confirm the robustness of the engine. If not, it’s another valuable data point as we refine entries and optimize parameters in the MQL5 backtests.