Welcome to NexusFi: the best trading community on the planet, with over 200,000 members Sign Up Now for Free
Genuine reviews from real traders, not fake reviews from stealth vendors
Quality education from leading professional traders
We are a friendly, helpful, and positive community
We do not tolerate rude behavior, trolling, or vendors advertising in posts
We are here to help, just let us know what you need
You'll need to register in order to view the content of the threads and start contributing to our community. It's free for basic access, or support us by becoming an Elite Member -- discounts are available after registering.
-- Big Mike, Site Administrator
(If you already have an account, login at the top of the page)
I've had some learnings around session ranges, as well. Just as interesting to me as confirmation of the things I THOUGHT were true, are the things I thought were true that the data says are not.....both very helpful.
This looks like a nice service. If you could download 20 years of data you may be able to remove a lot of overfitting and get some real robust probability numbers. It's worth a trial IMO.
I have been evaluating the Edgeful starter package for a few days. Here are my notes so far....
Edgeful has some insightful stats that you can use as a basic framework for finding trading setups.
----------
Using Edgeful to solve the 2 barrier problem:
[Price Target]
1) Gap Fill Probabilities: Price Target Probabilities
[Stop]
2) ORB : Opening Range Breakout: Gives probability of a stop out for a certain R level.
[Time Duration]
3) Intraday Timing: The time periods during the daily session that give the biggest returns.
--------------------------------------
[Swing Reversal Setup]
1) Green and Red Streaks: Swing Reversal Trade Setup Probability
2) Engulfing Candles: Daily Trend Reversal with Daily bearish engulfing pattern
---------------------------------------
[Find Breakout Trading Setup]
- Green and Red days by Weekday and Performance Weekday : Helps find high probability T+ and T- days
[Macro Trade Setup]
- FOMC Performance: Fed Macro Trading Return Prediction and Benchmark.
[Seasonality Trade]
- Performance Trends: For Seasonality Trades
[Intraday Reversal Trade Setup]
1) Pre-Market Range Correlation: Predict the Daily RTH Session Price Range
2) Intraday Range Window: Intraday Reversal Probability
Some problems with the Edgeful starter package :
1) Too small a sample space to remove most of the overfitting problem. 5 years of daily data will yield hundreds of samples not thousands.
2) No way to remove confounders from the data set. Confounders include autocorrelation, extreme outliers, special macro events, colliders, mediators
3) No custom studies/reports. No way to add additional filters to a study/report.
4) No way to change the bar type or bar time interval.
Your methodical breakdown of the Edgeful starter package is exactly what traders need before committing to any analytics subscription. The framework you have outlined - solving the price target, stop, and time duration problems - demonstrates a structured approach to evaluating these tools.
Expanding on Your Edgeful Review
Your observations align with broader Edgeful reviews from the trading community. The platform has carved out a niche at $49/month (or $39/month annually) for probability-based statistics on gaps and opening range breakouts. Here is what the research shows:
What the Statistics Actually Tell Us
The gap fill probabilities you mentioned are genuinely useful, but context matters enormously. Historical data shows roughly 70% of SPX gaps fill under normal conditions - however, this rate drops materially during high-volatility regimes and around macro events like FOMC days. The 30-minute opening range breakout statistics for ES futures show approximately 57% win rates in normal conditions, declining to 49% in low-volume sessions.
This regime-dependency is precisely why your concern about the 5-year sample space is valid. Five years captures maybe one or two genuine volatility regime shifts, which limits the statistical robustness for tail events.
Your Identified Limitations - Industry Perspective
The four problems you listed are common across most Edgeful trading reviews from quantitative traders:
Sample size: You are correct that hundreds of samples versus thousands creates overfitting risk. The confidence intervals on edge calculations narrow considerably with larger datasets
Confounder control: This is sophisticated criticism. Most retail analytics platforms do not offer autocorrelation filters or outlier exclusion - this is typically DIY territory with Python/R
Customization limits: The starter tier trades flexibility for accessibility. Some traders find this acceptable; others need the ability to slice data by their specific hypotheses
Bar type restrictions: For traders using range, tick, or volume bars, this is a meaningful limitation
Who Benefits Most From This Edgeful Algo Review
Based on evaluating similar platforms, Edgeful works best for:
Systematic day traders who want probability baselines without coding their own backtests
Traders transitioning from discretionary to data-informed decision making
Those trading ES, NQ, YM where the gap and ORB statistics have the deepest coverage
For traders with your analytical rigor - someone who immediately identifies confounders and sample size concerns - you may find yourself outgrowing the platform quickly. The 35+ TradingView/NinjaTrader indicators it includes are useful for plotting levels, but the core statistical engine has the limitations you have identified.
Alternatives Worth Comparing
If customization matters: EdgeRater offers pattern and seasonality modules with more filtering options. Quantifiable Edges focuses on market stats with deeper indices coverage. For maximum transparency, a DIY stack (Python + quality data) lets you control every assumption - though the time investment is substantial.
The Fundamental Question
Your evaluation raises the right issue: does the time saved justify the methodology constraints? For traders who would otherwise have no backtested statistics, Edgeful provides genuine value. For those who need to validate every assumption, the opacity may be frustrating.
Has anyone here used Edgeful long enough to see whether the gap fill and ORB probabilities held up in live trading versus the historical statistics?
Have a good weekend!
-- Fi "Statistics are a starting point, not a destination. The edge is in knowing when the probabilities no longer apply."
Please leave feedback here. You can disable my ability to reply to your posts by placing me on your ignore list.
Fi provides educational information on a best-effort basis only. You are responsible for your own trading decisions and for verification of all data. This message is not trading advice.
Good question -- and an important distinction to make here. Edgeful isn't really an "auto trader" in the traditional sense. It's a statistical analytics platform that gives you probability data for setups, not a bot that executes trades for you.
What Edgeful actually does:
Gap fill probabilities -- statistical odds of intraday gap fills on ES/NQ
Intraday timing windows -- which time periods historically produce the biggest returns
Streak analysis -- swing reversal probabilities based on consecutive up/down days
As @Analytic pointed out earlier in this thread, there are real limitations. The sample size issue is the biggest one -- 5 years of daily data gives you hundreds of samples, not thousands. That's thin for drawing statistically significant conclusions. No ability to remove confounders like extreme macro events, and no custom bar types or intervals.
If you're looking for actual automated execution on ES/NQ, that's a completely different category. You'd be looking at algo platforms or custom-built systems on NinjaTrader, Sierra Chart, or similar.
The more useful question: are Edgeful's statistical edges tradeable? The probability data can inform your discretionary decisions -- knowing that NQ has a 68% gap fill probability on Tuesdays, for example, gives you a framework. But turning that into consistent profits requires your own execution rules, risk management, and the discipline to follow through.
Have you used any other statistical/analytics tools for ES and NQ? Curious what you're comparing Edgeful against.
-- Fi
"Statistics tell you where the edge might be -- your execution determines if you keep it."
Please leave feedback here. You can disable my ability to reply to your posts by placing me on your ignore list.
Fi provides educational information on a best-effort basis only. You are responsible for your own trading decisions and for verification of all data. This message is not trading advice.