r/ai_trading

Bitcoin / U.S. Dollar

Measuring from the all time high to May 24^(th) Pentecost/Feast of Weeks/Shavuot.

This is a 50-day count from Resurrection Sunday April 5^(th) and is a highly possible day of the Rapture.

With Biblical knowledge, we can unpack the chart to reveal the story.

The money knows before the event. Biblically, we know that Judas was paid to betray Jesus.

Luke 22:3-6 Then entered Satan into Judas surnamed Iscariot, being of the number of the twelve. And he went his way, and communed with the chief priests and captains, how he might betray Him unto them. And they were glad, and covenanted to give him money. And he promised, and sought opportunity to betray Him unto them in the absence of the multitude.

This finally works, and it’s now fully automated.

I know it’s too early to celebrate, but after 8 days of trying to find both the problem and the solution, I finally made it fully automated. The next step is adding Telegram alerts for every trade it takes, so I can use it on prop accounts as well.

I’m super excited about this. Even if I fail, I still loved every second of the process.

Right now, it’s at 7/9 full TP trades. I didn’t set a break-even function yet, and I probably won’t. And 2/9L

As for the small losing trades — those were just tests to see whether the code worked or not. I had a very hard time figuring out how to make everything fully automated, which is why there are several negative trades.

The last 3 trades are all from my bot.

2L and 7W for now.

quick follow up to my last post since a bunch of you asked specifically about EURUSD. ran the system live for 60 days, 183 sessions, 14 trades. 64% TP1 at 1.1R, 57% TP2 at 1.7R, 43% TP3 at 2.5R.

the part i actually want to talk about is how the macro and trend agents feed into the EURUSD-specific trader. macro agent runs the desk view. DXY direction, session bias, what oil/gold/VIX are saying, what came out of the london/NY handoff. trend agent runs pure structure on EURUSD itself, the CMT array, VWAP behavior across sessions, where the session high/low is sitting relative to the prior day, and has access to the macro agent output. neither one calls the trade. they hand a packaged read to the EURUSD trader and the trader builds the thesis from scratch each session.

strategies aren't hardcoded. the trader builds the play based on what the agents handed it, volatility, liquidity, momentum structure, session conditions. so in theory every trade should look different. in practice there's a pattern and it's been bugging me.

across the 14 trades it keeps converging on three setups. pullback into trend after VWAP reclaim. fade the session high into prior-day resistance. mean reversion off session support when macro reads flat. not exotic, textbook desk patterns. brilliant in the sense that a seasoned trader would nod at all three. but i didn't tell it to prefer them. it found them on its own from a much wider menu of plays it could have built. i keep going back to the journals trying to figure out if it's converging because those three actually fit EURUSD's character at this volatility regime, or because something in the agent handoff is biasing it toward mean-reversion-flavored structure. honestly don't know yet.

the other thing i'm sitting with is the rejection rate. every session the agents produce roughly 1.8 setups on average, so across 183 sessions that's somewhere around 330 candidate trades the system built and monitored. only 14 made it through to execution. that's a 96% rejection rate against considered setups, or about 92% against sessions. that's not the trader being lazy, it's the trader being patient. it builds the thesis, watches conditions evolve in real time, and waits for the confluences to actually line up. if they don't, the setup expires. control like that was the thing i wasn't sure an LLM could hold session after session.

not going to dump the full conflict resolution logic in this post for length, but the short version is the trend agent sees the macro agent's read before it builds its own. one-way visibility. trader sees both and gets to weight. all of it running on live real-time data, full CMT indicator array (RSI, MACD, ATR, VWAP, session H/L, S/R, fibs across 5m/15m/60m), macro context (DXY, VIX, oil, gold, yields, ADD), built around the way a chartered market technician would actually frame a session. early data says the asymmetry matters more than i expected. ask away if you want to get into how the model logic is built inside.

4.7 only has 2 trades on it so i'm not calling that a comparison. ask me at session 300.

I realized there's a basic problem: Broker apps don't let us set alerts on a % variation of our balance. And if we use multiple brokers (most active traders do), there's no way to monitor drawdown across the whole portfolio. So I built one.

What I have working so far: Every minute, the agent pulls current capital across linked accounts, tracks the highest value seen (lastPeak), and computes drawdown from there. If drawdown crosses the threshold, it fires a Telegram alert. An alertTriggered flag prevents spamming, i.e. it only re-arms when the portfolio recovers back above the threshold. The first naive version was sending one alert per minute the whole time the portfolio was underwater, which is useless.

The math itself is trivial: adjust the peak by the flow amount. The annoying part is the detection layer. So what I'm going to work on next is distinguishing real drawdowns from cash flows. If I withdraw 15% of the account, that's not a 15% loss. Same in reverse: a fresh deposit pushes a new "peak" that isn't really a peak. A tricky case is when a transfer between two linked brokers looks like a withdrawal on one and a deposit on the other: net zero, but each leg looks like a flow if you only see one account.

Curious if anyone's been down this road and hit something that broke that approach.

ChartScout picked up a clean Symmetrical Triangle chart pattern on the 15-minute timeframe. This consolidation structure shows price tightening between converging trendlines, with 87.5% maturity.

A solid technical analysis setup with clear market structure and support/resistance levels worth watching for confirmation. DYOR.

I would also like to thank those who helped me, enabling me to achieve a return of 281.07% over three months.

but to be honest, this turnaround didn't happen overnight it certainly didn't just begin today.

not long ago, I was doing exactly what most people do: blindly following trading signals, acting on impulse, and chasing after quick money.sometimes, that approach actually worked.

but in the vast majority of cases, it was nothing more than a futile exercise in futility.

for me, the true turning point came after I connected with a group of people who could articulate with genuine clarity why a specific trade was worth entering.they didn't just simply shout, buy here!

Instead, they provided a concrete analysis:what is the current trade setup? where are the key risk points located? and under what conditions would the underlying trading logic no longer hold true?

these concepts are actually quite simple, yet in the past, I had never truly put them into practice.

nowadays, I spend far more time waiting than I do actually executing trades.

the noise and distractions have faded away, replaced by a more rigorous methodology and structure.

although I continue to learn and refine my skills day by day, my trading process now gives me a sense of control I’ve never experienced before.

If you are active in various stock trading signal communities but yearn for a deeper, more thorough understanding of the logic behind the trades, then joining a truly high quality community can make a world of difference.

I wanted to share this experience in the hope that it might offer some inspiration to those friends who currently feel lost or helpless stuck in the chaotic quagmire of frequent, impulsive trading.

Hey everyone,

Over the last ~15 months we’ve been building and refining an automated futures trading system for NinjaTrader based on our own manual trading experience.

The system combines fixed-rule execution with concepts related to market structure, liquidity behavior and SMC-style logic.

The main objective from the beginning was not to create a “holy grail”, but rather something capable of surviving different market conditions while removing the emotional side of execution entirely.

Instead of discretionary trading, the focus was placed on:

• predefined execution rules
• controlled risk parameters
• session-based filtering
• automated management
• consistency over long periods

The system currently runs multiple models across futures markets including indices, forex, crypto, metals and bonds.

We’ve mainly been testing robustness, behavior during drawdowns and long-term stability rather than trying to aggressively optimize for unrealistic returns.

Internal hypothetical/backtested data currently covers:

01 Jan 2025 → 22 Apr 2026

Some examples from different models:

• NQ models reaching around ~$40K simulated net profit with high win-rate behavior
• ES models showing lower volatility and more controlled equity curves
• Treasury/Bond models performing surprisingly stable during slower market conditions
• Separate crypto and forex models behaving very differently depending on volatility regimes

Obviously these are hypothetical/backtested results, not audited live returns, and we fully understand the limitations that come with backtesting.

One thing we noticed during development is that systems with lower excitement but stronger consistency tend to survive much longer than highly optimized systems that look amazing for short periods.

Curious what more experienced traders here think about:

• balancing robustness vs optimization
• acceptable drawdown levels for futures automation
• differences between prop-firm behavior vs live-account behavior
• whether simpler fixed-rule systems tend to outperform more “intelligent” adaptive systems long-term

Happy to discuss the development process and hear different opinions from people running futures automation themselves.

Most traders overcomplicate support & resistance.

TrenVantage automatically:
✔ Detects the trend
✔ Plots key support/resistance levels
✔ Filters market noise
✔ Alerts you before reactions happen

Built directly for TradingView traders who want clean charts and real context.

Would you actually use something like this?

Comment RETAIL if you want access.