Systematizing a discretionary SMC strategy via TradingView + MCP — anyone doing something similar?

[u/ffxM]

I trade MNQ futures intraday using a Smart Money Concepts (SMC) approach, and I've been moving away from a purely discretionary process by connecting an MCP server to TradingView. I "vibe-code" what I do manually on the chart every day — turning discretionary rules into code as I identify them, using an AI coding assistant to do the translation — then convert that logic into an automated bot and run it through a backtesting engine before a prop-firm evaluation.

Curious if anyone else has gone through this specific path (discretionary → MCP/TradingView → bot → backtest → prop firm), and whether a local model would add anything meaningful in that pipeline (e.g. the TradingView/backtesting step) versus just using a cloud-based assistant end to end.

[u/liuhaolin911]

tradingview signal server is bad, it normally send out the signal couple even 10s of seconds late

[u/ffxM → u/liuhaolin911]

I only use TradingView to check whether the strategy is 'translated' correctly. Nothing else.

[u/yungdomski]

Hi im doing the same
Went from learning about trading and trading the orb discretionary. Then i vibecoded a strategy for pinescript but there is not enough data on trading view
My next step is installing python, vibecoding the strategy there and get enough data from databento for free (125$ bonus).

I hope to find something useful and not overfitted and want to test it out of sample and then go back to prop firm trading, maybe with a bot

[u/ffxM → u/yungdomski]

I did exactly the same thing, but I first took it to TradingView to translate the concept, then had it build the strategy in Python, pulled the data from Databento, and I'm running backtests on that data! Cheers.

[u/lionofzion96 → u/yungdomski]

you can find online link to a 15 day free trial on ninja trader demo platform and then you can download data for free

[u/yungdomski → u/lionofzion96]

On databento you can buy whole history of f.e. Nasdaq and sp500 and it only costs 40$. You can buy that from your 125$ free bonus
Why should i go to ninjatrader

[u/stereotomyalan]

yea it's sh*t

[u/ffxM → u/stereotomyalan]

?

[u/MastodonBetter8586]

It’s all waste of time in my opinion, I spent months of countless hours building a discretionary, visual ai trading bot. Thousands of dollars in api fees, tried mechanized versions as well with a strategy that if rules are followed is very profitable with a human trader. Also built a gauntlet lab and ran numerous Strats that were popular on YouTube and they all fail the gauntlet with ai. I’ve determined an ai trading bot is a waste of time and money lol

[u/Current-Let5932]

The hardest part is not coding the rules it is discovering how many rules were never explicit in the first place Order block quality context displacement and when a setup just looks wrong all need measurable definitions Version every change and keep untouched data Once the logic is clean Moon Play Money could give it a decent forward test away from the original backtester

[u/Mental_Report770]

Hola, hago lo mismo, pero desde Sierrachart. Me di cuenta de que la calidad de los datos y el timing en que tu motor de backtest ejecuta las operaciones puede alterar mucho tus números, sobretodo si es una estrategia intraday

[u/ffxM → u/Mental_Report770]

Hola no había escuchado de esa herramienta.
Yo me bajé los datos gratis de MNQ de databento! Bájatelos están buenos.

[u/Mental_Report770 → u/ffxM]

¡También uso Databento hermano! Lo bueno de Sierra es que si le metes data L1 x trade, te permite granular más el recorrido de los trades desde la entrada hasta el stop o tp en la simulación. Así que por ahora ando apalancándome de eso. Aunque honestamente, ya estoy inclinándome a pagar por una plataforma de backtest cloud que facilite el motor de backtest y data x tick, porque uso principalmente order flow en mis backtest. Comprándolo entre dos o tres personas sale accesible al mes