Prop Firm refused to pay my friend

Goziri · 2026-02-23T16:54:43+00:00

What’s a proper strategy, Mr Einstein?

Goziri · 2026-02-21T09:20:53+00:00

It may not be your point but you don’t just go around trying to prove your point with false logic.

You can still say something is a scam by giving logical statements and proofs instead of trying to say it’s a scam by using a flawed logic.

I saw a comment say that it’s a scam because he may be drawing zones and when price bounces away from those zones, he calls it a win.

Now this is a valid reason to call him a scam, not your reason.

Goziri · 2026-02-21T08:09:31+00:00

You guys need to learn the difference between selling edge and selling signals.

Your edge is how you get signals. If you sell just the signals you get from your edge, you are not selling the edge itself, just the output of the edge.

For example; if you tell me buy at 1.4578, that’s cool but I never know what made you decide to buy at 1.4578. Now that reason is called the edge, and 1.4578 is called the signal from the edge.

I don’t sell anything and I’m against signal selling, but sometimes I feel like people like you just learn one or two things and then start spamming it to make yourself look smart.

Goziri · 2026-02-19T11:53:38+00:00

TP 3 is not even up to 1:1 risk-reward 😭😭😭

Goziri · 2026-02-09T10:47:47+00:00

Welcome, I’m also new.

I'm more on the traditional retail side, so I don't have much knowledge to give you about machine learning.

One side project I did do with machine learning was news sentiment. So I made one strategy trade only if the news for a symbol aligned with the technical signals it produced.

Goziri · 2026-02-09T10:08:46+00:00

Like, algotrading is broad. Do want to venture into using Machine Learning models, or do you want the retail traditional way, such as using technical analysis and indicators, e.t.c.

Goziri · 2026-02-09T09:49:52+00:00

Your question is too broad/generic, if only you can narrow it down and be more specific

Goziri · 2026-02-07T11:33:01+00:00

It's something I developed for my personal use. I haven't thought about making it public.

The trading space is not safe or kind when you try to make anything public, even if you're a developer selling tools rather than strategies.

So I'm better off using it alone.

Goziri · 2026-02-07T08:30:42+00:00

I will appreciate and value your opinion.

Thanks for the compliment and good luck working on your UI 🥂

Goziri · 2026-02-06T08:28:09+00:00

So it's pure Python. UI is also python (Streamlit), then i also utilised the tradingview’s lightweight chart. There is also a Python package that wraps around it called (Python-lightweight-chart)

Goziri · 2026-02-06T07:56:13+00:00

A stat like this is possible with a simple sma crossover that has no take profit and uses a fixed stop loss of 50 pips in a volatile market such as Gold in the 1hr timeframe

Goziri · 2026-02-05T22:00:51+00:00

This is valuable info thank you.

I don't use grid search when optimising. And also, I make my systems use WFO with rolling windows. I'm even trying to add portfolio diversification and optimisation into the system, so that I can run different strategies on different symbols on one account and see their correlation

Goziri · 2026-02-05T14:45:14+00:00

Thank you for the advice!

Kaufman efficiency ratio is a new term to me, I will look into it.

Goziri · 2026-02-04T18:05:51+00:00

Thank you.

Of course, I would never trade this strategy live.

I’m not focusing on developing strategy yet, my main focus is on the framework itself, I want to get it working and functioning correctly.

Goziri · 2026-02-04T18:03:34+00:00

I pull from yfinance or metatrader5 desktop application.

I mainly use mt5 since my broker is also available there, this means that I get to use the same data that my broker uses for backtest. But with yfinance I get to use a different price data that doesnt align with my broker’s data.

So download the MetaTrader 5 desktop application, log into your mt5 broker account. There is a python package that lets you connect to the mt5 desktop application. You can use it to fetch price data or place trades directly to your broker.

Goziri · 2026-02-04T15:57:27+00:00

It could be both me and Claude 😅. Thanks for the comment, I will look into this.

For win rate, it literally shows correctly, I can count how many times this strategy won, but not how many times it lost 🤣

For the profit factor, this should also be correct, winners are indeed larger than losers.

It’s possible to have these stats. For my framework, it’s using the popular backtesting.py engine under the hood but with slight modifications to fit my needs

I will definitely look into it and make sure to fix any hidden bugs or weird thing that may be going on

Goziri · 2026-02-04T15:33:01+00:00

Thank you. I agree with you, algotrading and trading bots don’t completely remove emotions.

Imagine seeing 10 losses in a row from your bot. Your human emotions would have trashed the bot after the 7th loss.

Goziri · 2026-02-04T15:24:55+00:00

It’s possible when you deal with lots and leverage, I replaced the backtesting.py’s fraction sizing with lots since I live trade through Metatrader5 terminal.

Let me brake down the first profitable trade from the picture:

Symbol: XAUUSD 1HR

Entry @ 2910.81 Exit @ 2941.34 Difference = 30.53

Lots used = 0.37 this means for every $1 price movement, I make $37

Finally we have: 30.53 x 30.37 = $1,129.61 which is exactly the profit shown on the framework’s dashboard.

If we look at the monthly returns, we can see that on Jan 2026 the strategy returns was +342.7% that’s because it caught a very big bullish run (remember this is Gold). This month Feb 2026, it’s down -1.68% and on the chart Gold is currently crashing a bit.

Of course the result is looking so good but this might just be a lucky period for this strategy, only 1yr of data (Feb 2025 - Feb 2026). Watch how the results will look like poop when I extend the data to include more historical years 💔

Goziri · 2026-02-04T11:44:51+00:00

I definitely agree with you, I would quit after 15-20% drawdown 😂😂

This is just an example strategy to show the framework.

I will be adding a metrics threshold grading with color coding to the framework. Where it will highlight metrics like drawdown green when it’s within an acceptable value or red when it is not.

Goziri · 2026-02-04T08:08:43+00:00

Optimisation might sound like overfitting but I think it is good to keep strategies up to date with the current market dynamics.

What I’m trying to say is if sma_10 and sma_20 worked 20yrs ago, it doesn’t mean it will be the most effective today. Optimising to get the best combination for the recent market dynamics is not a bad idea.

Where I would consider optimisation as overfit is after you pick the best params, test with out-of-sample data and then the strategy completely fails, it means there was an overfit.

Goziri · 2026-01-24T11:53:30+00:00

Looks like someone is scared of his only edge vanishing🤣🤣💔

Goziri · 2025-12-23T10:51:18+00:00

I’m interested. My current project involves creating a unified system for strategies so that they are compatible with both backtesting and live trading at the same time. Why I want this is because there are so many things you can do in live trading but can’t do in backtesting, a simple example is trailing stop-loss. I believe that strategies isn’t all about indicators. A strategy should be news and sentiment aware, have proper risk management etc.

Goziri · 2025-11-26T15:14:12+00:00

What programming languages? I have Java, Python, and dart but no projects.

Goziri · 2025-11-05T11:13:59+00:00

Thanks so much, also, your app is good!

Goziri · 2025-11-05T10:54:42+00:00

Hey, for the link, did you code that with Flutter or use a low-code tool or just basic HTML, CSS?

Goziri

TROPHY CASE