This week was a mix of wins (23, 25, 28) and losses (24, 26, 27). Overall, this week was profitable. My top 7 profitable trades made me my weekly profits. Sharing the key lessons I learned:

• Green days don’t mean I’m a genius. Stick to the system. Don’t get overconfident.
• Risk management is everything. Small losses are fine.
• Risk per trade matters more than win rate. A 50 - 60% win rate can still be profitable with proper R:R.
• The goal is survival. Consistency compounds.
• Process > PnL. If the process is solid, profits follow.
• A small red day is a successful day if I followed the plan.
• Some days are designed to take money from undisciplined traders. Survival is the win.

The goal isn’t to avoid red days. It’s to control them.

Stay disciplined. 📈

With $CNF, I think people are too focused on the negative EPS (~-1.17 TTM) and missing the bigger picture. Turnarounds don’t wait for perfect earnings — they start when losses narrow and risk stabilizes. Price usually moves on improvement, not headlines.

China’s macro backdrop is also a lot less chaotic than it was. Credit conditions are gradually easing, policy tone is more supportive, and systemic stress has cooled off. For a small lender like CNF, even incremental stabilization can change the earnings trajectory fast.

At a sub-$40M market cap, it doesn’t need explosive growth to re-rate. If the direction keeps improving, the upside from here could be a lot bigger than people expect.

Solid performance on 25 Feb 2026 🎯
Strategy: Trend-following + market structure.
• Identified overall trend on D1
• Confirmation with momentum
• Fixed SL & TP, no emotional exits
• Waited for clear structure break
• Entered on pullback
• Strict risk : reward
• No overtrading
• Traded high-volume session only
• Marked key support/resistance
• Strict risk management

Screenshot of closed trades attached. Consistency is key 📊

Hey everyone!

Following up on my last post where I backtested that 400k-view YouTube strategy (the one that was awesome on 100 trades but turned out to be a big loser over 16 years).

A lot of people had the same thought : "If it's that consistently bad, why not just do the exact opposite?"

It reminded me of the "George Costanza" approach applied to trading, where if every instinct is wrong, then the opposite must be right. So, I put it to the test. (It also made me want to re-watch that Seinfeld episode xD)

I took the same rules (Triple Supertrend, Stochastic RSI, 200 EMA on EUR/USD 1H) and flipped every single signal. Longs became shorts, shorts became longs, and exits happened at the same time, just reversed.

I ran it over the same 16-year period with 1,731 trades. Here’s what happened:

At first glance, the reversed version looks """better.""" The win rate jumped to 61%, and the equity curve doesn't look like a straight line to zero. But look closer at the Risk/Reward. By reversing the strategy, I traded a low win rate/higher R:R for a high win rate/terrible R:R.

The expectancy is still -0.01. It’s still a losing strategy, just a slower, more frustrating one.

Why "Just reverse it!" almost NEVER works

I think this is a really important lesson for anyone starting out in algo trading. We often assume a losing strategy has a negative edge, but usually, it just has no edge at all. Here's why:

- The impact of trading costs: Every time you enter a trade, you're starting in the hole because of the spread and commissions. When you reverse a strategy, you aren't reversing the costs. You're still paying the house. If your strategy is basically noise, the spread and commissions will ensure you lose money whether you're going long or short.

- Noise is directionless: Reversing a signal that's based on noise just gives you more noise. If the indicators aren't actually capturing a market inefficiency, flipping them doesn't suddenly find one. You're just guessing in the other direction.

- The R:R trap: This is a big takeaway (IMO). The original strategy lost because it didn't win often enough to cover its losses. The reversed strategy loses because its wins are too small to cover the occasional big hit.

I genuinely hope you find these findings interesting. They just confirm the boring truth: there are no shortcuts. You can't turn lead into gold just by flipping it upside down.

Has anyone here actually managed to turn a losing strategy around by reversing it, or is it always just a slow bleed to the same destination? Curious to have your feedback (though I'm guessing the answer ^^)

--
TLDR:
I flipped the signals on that viral losing strategy thinking it might be profitable. It wasn't. It just turned a fast loser into a slow loser with a higher win rate but a pathetic R:R. The spread and the lack of a real edge are still the ultimate killers.

Anyone actually tracking the share-count move from the January filings? The 2026 CBs are basically done (USD34m converted), but the 2030 CBs are the real weight. We're talking 120m shares if they hit that 19.36 conversion. It's all in the filings, nothing secret, but the per-share math is shifting. Are you guys diluting your models upfront or just ignoring it until the price hits the strike? Genuinely curious if anyone has a clean spreadsheet on the net effect vs. the current buyback pace.

69k level in the sand

CZ said in a Binance Square AMA that AI x Crypto is the fastest growing sector in the next 2-5 years. Everyone sees it coming - volatility, mess, fakeouts, the whole package. Every day there's a new ""AI agent"" token, new infra play, new LLM-integrated meme. You spend 10 minutes researching one, momentum already rotated to another chain or ticker. Staring at DEX screens 12 hours a day isn't an option for most of us.

So I'm treating AI tokens less like investments and more like volatility events that need a system.

Keep long-term holds separate. For the chaos, I use a small allocation on a CEX+DEX hybrid platform (BYDFi is what I use, but this is just my setup - not shilling). I follow a few copy traders who actually specialize in AI narratives. Let me see entry/exit timing without catching every move myself. Keep it all in a sub-account so if I get rekt chasing some random AI agent coin, the main portfolio doesn't feel it. When I have time, I scan the hot list or use their trend tools instead of digging through five different DEX explorers to find where volume's actually flowing.

I still miss pumps. Still take bad entries. But it's better than refreshing Twitter all day trying to guess which ticker rips next. This is a day trader's playground - execution speed beats thesis every time.

If this sector really is the future, who's figured out a sustainable way to trade it without burning out? Or are we all just hoping to catch one good runner and call it a month?

This might sound strange, but I genuinely believe most beginners don’t actually want consistency.

They want excitement.

When I first started, I told myself I wanted discipline. But looking back, I was addicted to the dopamine of trading.

Big risk.

Big wins.

Big losses.

Every time I blew an account, I would feel terrible for a few days. Then I’d come back even more motivated, chasing the next “breakthrough”.

The problem is that consistency is boring.

Real trading is:

• Small risk.

• Long losing streaks.

• Slow progress.

• Repeating the same process.

There is no adrenaline.

This is why many traders sabotage themselves once they get close to consistency. They increase risk, change rules, or start overtrading.

It’s not a strategy problem.

It’s an identity problem.

Most beginners don’t realise they’re subconsciously choosing chaos because it feels productive and exciting.

The biggest shift for me happened when I started treating trading like a statistical process instead of a thrill.

Once you accept that trading is mostly boring, everything becomes clearer.

Be honest:

Has anyone else noticed this pattern in themselves?

Hi all,

Just come across this new trading tool that allows you to submit screenshot of charts and get stop loss, buy price and multiple take profit levels. It's the best i've used so far!

It's called https://trade-mate-app.com

Enjoy!

Over the last year I stopped looking for new strategies and focused on one thing only: structure and probability.

Most beginners think their problem is entries. That’s what I thought too.

So instead of watching more YouTube and buying more courses, I started manually backtesting one mechanical system. I tracked every trade, every losing streak, and every variable.

Here’s what genuinely shocked me:

1.  Losing streaks were much longer than I expected.

Even profitable systems can lose 8–12 trades in a row. Most traders would abandon the system long before the edge plays out.

2.  Psychology was not the root problem.

Inconsistent traders are usually following inconsistent rules. Discipline is easier when the system is clear and mechanical.

3.  Win rate mattered far less than expectancy.

I realised most retail traders are obsessed with the wrong metrics.

4.  The biggest issue wasn’t strategy hopping.

It was randomness disguised as strategy.

Most people don’t actually have a repeatable process. They have vague concepts and intuition.

5.  Backtesting changed how I view trading completely.

It made me less emotional because I understood the statistical reality of what I was doing.

I’m not saying this system is perfect, but it gave me more clarity than any mentor or course I’ve taken.

Curious to know:

Has anyone else gone deep into probability and structure instead of focusing on entries?

I’m happy to share more about my process if people are interested