Hoc-trade

Hoc-trade Behavioral Trading AI for Better Returns

Leverage AI to detect your loss-making pattern.

We re-define the approach to trading with Behavioral Trading AI.​

Over 85% of retail traders experience losses in active trading despite having access to various technical & fundamental analysis tools. At Hoc-trade, we firmly believe that traders themselves hold the key to success. By assessing the behavioral biases and emotion-triggered actions of a trader, Hoc-trade helps to create measurable improvements by identifying & warning of repetitive loss-making patterns. ​

Hoc-trade is a 100% data-driven behavioral trading analytics platform that leverages AI and big data for your trading success. Our smart system identifies individual trading patterns, particularly those leading to losses, and promptly notifies traders whenever they exhibit behaviors indicative of loss-making patterns. The Hoc-trade Trade Medic report helps traders of all experience levels to quickly identify their most destructive behaviors.​

Hoc-trade enables easy integration for brokers, exchanges, and prop trading firms seeking to improve their traders, drive trading volume, and provide the best AI-powered user experience to their clients. Hoc-trade strives to elevate trader's performance by limiting the impact of loss-making patterns and strengthening their trading edge. Our smart algorithms identify those loss-making patterns by looking at wide array of trading metrics, such as Entry & Exit Timing, Revenge Trading, Early Closing of Win Trades, Late Closing of Loss Trades, and Overtrading.​

All processes are entirely automated within our application. Hoc-trade provides traders with vital tools to enter a continuous improvement cycle. Detect & comprehend behavioral patterns, track pattern impact over time, receive real-time alerts, benchmarking personal trading metrics against profitable traders, and enable knowledge exchange within the trading community.​

***Currently in alpha testing - beta testing starting soon***
If you are interested in enjoying an early access (free), please join our Discord server. All necessary information will be provided there: https://discord.gg/hcvytJnb5U

25/09/2026

18.2% of traders are profitable overall. Overtraders? A third of that.

No overtrading: 24.0% profitable. Has overtrading: 12.3%. It's a top-3 issue: 1.3%. Overtraders are 3.8x less likely to profit than a trader who never overtrades (6.3% vs 24.0%).

Hoc-trade, new pattern every week.

25/09/2026

What if an AI could block your worst trades before you made them?

We ran the simulation. When the AI flags a trade as matching one of your loss-making patterns, what happens if that trade never gets placed? Would you have performed better or worse than your actual account?

That's how you know a pattern is actually costing you, not just a hunch.

👉🏻Free check: hoc-trade.com/trademedic

Closing a winner early isn’t a trading decision. It’s a timing one.Locking in the good feeling early means giving up the...
25/09/2026

Closing a winner early isn’t a trading decision. It’s a timing one.
Locking in the good feeling early means giving up the gain your own plan was targeting. Rational trading holds to the target, not the comfortable exit.

👉🏻Free check: hoc-trade.com/trademedic
👉🏻Follow Hoc-trade for more trading behavior breakdowns.

25/09/2026

You keep blaming the trade.

Pull your MT4 history, line it up against the news that dropped at that timestamp, and you'll see it wasn't the market.

It was the same pattern you've run a dozen times before.

What's yours?

24/09/2026

Revenge trading gets the warnings. Overtrading takes the bigger bite.

Revenge trading: 10.0% of losses, among traders who show it. Overtrading: 25.5%, 2.5x more, and it ranks 5th of 23 patterns tracked.

Free check: hoc-trade.com/trademedic

Follow Hoc-trade for a new pattern every week.

This isn’t market timing. It’s personal timing.Entering before your setup confirms isn’t about the chart, it’s about how...
24/09/2026

This isn’t market timing. It’s personal timing.
Entering before your setup confirms isn’t about the chart, it’s about how uncomfortable waiting feels. Rational trading waits anyway.

👉🏻Free check: hoc-trade.com/trademedic
👉🏻Follow Hoc-tradefor more trading behavior breakdowns

24/09/2026

A losing trade isn't one data point.

It's a timestamp, a position size, and a news event lined up next to 50 other trades that look exactly the same.

Once you see the pattern instead of the single trade, "bad luck" stops being the explanation.

23/09/2026

49.5% of traders show overtrading in their results. That's every second trader you know.

Among traders who show it, overtrading accounts for 25.5% of their losses, and 17.9% of ALL trading losses market-wide. The average cost per affected trader: $7,248.

Free check: hoc-trade.com/trademedic

Follow Hoc-trade for a new pattern every week.

23/09/2026

The gap is not between what you know and what you should know. It is between what you decided to do and what you actually did.

Get your behavioral performance checked 👉🏻 hoc-trade.com/trademedic

23/09/2026

Here's exactly what TradeMedic looks at when it reads your trading behavior.

We pull everything: symbols traded, timestamps, position sizes, profits and losses. At the same time we pull the market quotes and news for those moments, so we can see whether you were reacting to something real or reacting to yourself.

That's where the patterns show up, and where you can actually see them changing.

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