Structure comes first
The level should matter: prior lows, session pivots, breakout zones, shelves, or other areas where price has already shown reaction.
How FBDBot works
Learn the FBD trading system without the full user manual.
FBDBot is built around the failed breakdown methodology: watching important ES/MES levels for failed moves below support, trap-and-reclaim behavior, and acceptance back above structure, then giving traders software to execute, manage, review, and refine that process.
Methodology Snapshot
1. Key levelA meaningful ES/MES level is selected from market structure.
2. Failed breakdownPrice flushes below support, attracts shorts and stops, then reclaims the level.
3. AcceptanceThe bot waits for price to accept and reclaim the level instead of entering on the first touch.
4. Managed executionTargets, stops, sizing, and risk controls are handled by user settings.
The Failed Breakdown System
Why failed breakdowns matter
A high-probability setup built on market behavior.
A failed breakdown is a failed move below an important support level or structural low. Price first flushes under the level and makes the breakdown look like it is working, which can pull in short sellers and trigger stops. The setup starts to matter when price demonstrates it wants to be at or above the level. Instead of chasing the breakdown, the methodology looks for the moment sellers fail to keep price below support.
Sellers get tested
The setup is not the first move below support. The flush creates the breakdown attempt, attracts sellers, and tests whether they can actually hold price below the level.
Failure creates the opportunity
When price reclaims and accepts back above the level, the breakdown has failed. That failed move is the actual signal the system is built around.
Why use software for this?
The edge is selectivity. The tool is execution.
01
Find or choose levels
Use your own levels or use Level Engine to find structural candidates for ES/MES.
02
Let the bot watch
FBD Bot monitors those levels for failed breakdowns, level reclaims, and support-buy behavior.
03
Control the trade style
Advanced settings let users control risk, targets, max stop behavior, contract spread, and session discipline.
04
Review and refine
Performance, trade data, recaps, and optimizer tools help users understand how their configuration is behaving.
i
The bot does not invent random trades. Users provide or deploy levels, then configure how aggressive or conservative the bot should be around entries, targets, stops, sizing, and session limits.
Trade types
The main structures FBDBot watches
These are simplified examples for visitors. Subscribers get the deeper Hub education, setup library, recaps, and configuration walkthroughs after joining.
Primary setup
Failed Breakdown
Price breaks below a key level, sellers pile in, then price reclaims above the level and confirms acceptance.
Secondary setup
Level Reclaim
A level has already been flushed earlier. Price is now below it and the setup forms when price reclaims it.
Backtest setup
Support Buy
Price breaks out, returns to retest the breakout zone, and reacts from support on the first clean backtest.
The FBDBot product suite
Choose how much of the system you want automated.
FBDBot is not a one-button promise. It is a trading software stack built around level selection, automation, execution, risk controls, and review.
Find structural levels
Maps FBD, support buy, and reclaim candidates.
Learn More →Level discovery
Execute your levels
Executes user-defined levels with saved settings.
Learn More →Automated execution
Both core products
Level Engine and FBD Bot together.
Learn More →Both products
Products synced
Connects Level Engine directly into FBD Bot.
Learn More →Product bridge
Is this right for you?
FBDBot is built for traders who want...
✓
A rules-based approach to a proven market behavior
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More selectivity and fewer low-quality setups
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To remove screen time and let software handle the waiting
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Consistent execution, risk control, and trade management
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Data and insights to refine and improve over time
- Configurable execution software
- Built around failed breakdown methodology
- User-controlled and risk-managed
- A defined edge traded without emotion
- A tool to help you follow your plan
- Not a signal service
- Not a magic ‘set it and forget it’ solution
- Not financial advice
- Not a high-frequency scalper
- Not a guarantee of profits
Quick clarity
Common questions.
Does the bot guarantee profitable trades?
No. It is execution software for a methodology. Level quality, timing, settings, sizing, and market context still matter.
Do I need NinjaTrader?
Yes. FBD Bot is built around local NinjaTrader execution for ES/MES.
Is this only for experienced traders?
The platform includes education, but users should understand futures risk and treat the bot as a tool, not a substitute for judgment.
Where is the deeper methodology library?
The full library, setup examples, recaps, and configuration guidance live inside the subscriber Hub.
Is this an algo?
No. FBD Bot is not a black-box algo that decides trades on its own. It is user-configured execution software built around the failed breakdown methodology, user levels, Level Engine levels, and the settings selected by the trader.
Do I need a Windows computer?
Not necessarily. FBD Bot needs a Windows environment because it runs through NinjaTrader Desktop, but users can run it on a trading VPS instead of their personal computer. QuantVPS is our VPS partner.
View QuantVPS →Does this work with prop firms?
Check with your prop firm to confirm whether they allow automated strategies. Many do, usually with rules around order spamming, abusive scalping, or manipulation-style behavior. FBD Bot is built around patient, high-quality failed breakdown setups, typically 1–3 trades a day, and sends standard NinjaTrader orders similar to how a trader would execute manually. Our prop firm partner is TradeDay.
View TradeDay →What is the win/loss rate?
There is no single clean win/loss number because FBD Bot depends heavily on how each user configures and runs it. Results can vary based on level quality, contract spread, risk settings, toggles, time of day, setup strictness, and trade frequency. With Autopilot, there is also the added layer of deployment filters, setup types, quality settings, distance settings, and max active levels. Performance depends on the user's configuration, so we do not publish one broad metric that implies everyone will get the same result.