Famous trading strategies on trial. We rebuild them rule by rule and test them on years of real data. Honest verdicts, every number published. ⚖️
Joined September 2026
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We backtested CHoCH on 2,256 trades.
NO EDGE.
Random entries did as well in 22 of 25 tests.
CHoCH traders: agree or disagree?
Small gaps fill. Big gaps usually don't.
Gaps under 0.10% filled 93% of the time.
Gaps over 1% filled 24% of the time.
Gap traders, which side do you trade?
Algo Court retweeted
That excitement is contagious 😂🔥 Love to see it! 🤝
@Duelbits @CoconutBGaming
Algo Court retweeted
We keep giving AI agents more power than our ability to predict their mistakes.
I wasn’t surprised when I saw the report of an AI agent sending roughly $200,000 after a tweet concealed an instruction in Morse code.
That is what a single point of failure looks like.
@GenLayer's GreyBoxing tackles this at the validator level.
Different validators can use different models, prompts and configurations. Their exact setups aren't exposed, making it harder to prepare one instruction that fools them all.
A misleading input still has to survive independent evaluation and consensus.
Ancient Egypt offers a useful comparison. Pigeons carried military dispatches and other messages. Imagine a village making farming or flood decisions based on one altered message. The consequences could be devastating.
- One information route creates one point of failure.
- Independent validators make manipulation harder to predict and coordinate.
An AI agent holding money should never be treated like a plug-and-play assistant. The question isn't whether AI can make mistakes. It's what happens when nobody can independently challenge its decisions.
How much should we trust an AI agent when we cannot see how it reaches a decision? And should transparency be a requirement before it gets access to our money?
Algo Court retweeted
Patrick Habirora stays locked in. The composure, timing and precision are something else 🔥 PFL fans know!
#PFL #PatrickHabirora
Algo Court retweeted
🕉️🔱🚩 हर हर महादेव 🚩🔱🕉️
🕉️🔱🚩 जय जय भोलेनाथ 🚩🔱🕉️
🕉️🔱🚩 जय बाबा महाकाल 🚩🔱🕉️
🕉️🔱🚩 ॐ नमः शिवाय 🚩🔱🕉️
शिव ही शक्ति, शिव ही शांति
🌿 महादेव हमें सिखाते हैं कि
क्रोध पर संयम रखो,
अहंकार को त्यागो,
दुःख में धैर्य रखो
और सुख में विनम्र बने रहो।
🙏 जीवन में बड़ा बनना है, तो दूसरों को छोटा मत समझो। शक्तिशाली बनना है, तो अपने मन पर विजय पाओ और शांत रहना है, तो हर परिस्थिति में शिव का स्मरण करो।
✨ शिव की सच्ची भक्ति केवल माथे के तिलक में नहीं, बल्कि हमारे विचारों, व्यवहार और संस्कारों में दिखाई देती है।
🔱 भोलेनाथ सबके जीवन में सुख, शांति और सद्बुद्धि प्रदान करें।
🌺 हर हर महादेव! 🌺
Algo Court retweeted
Parabolic SAR: FAILED.
We backtested Parabolic SAR on 4,080 EURUSD trades.
It lost money in 8 of 8 years.
Would you change the rules or drop the strategy?
Parabolic SAR: FAILED.
We backtested Parabolic SAR on 4,080 EURUSD trades.
It lost money in 8 of 8 years.
Would you change the rules or drop the strategy?
Free PDF: all 75 strategies we backtested, ranked from the one that passed every test to the ones that failed 👇
algocourt.com/report?utm_sou…
London breakout lost 1,197 pips.
"+30 a day" was the pitch.
We backtested 3,821 EURUSD trades. Verdict: FAILED.
A daily profit claim sounds tidy. The backtest wasn't.
Would you trust any fixed daily target?
Titan ended at $135,646. VWAP had $6 left.
Our backtest duel: same $10,000 start, same $100 risk per trade, costs included.
VWAP blew the account. Titan's balance is the final result.
VWAP traders: what would your version do differently?
0 of 16 patterns beat random.
We backtested 65,284 candlestick patterns on EURUSD 1H.
NO EDGE.
Candlestick traders: what makes your setup different?
Free PDF: all 75 strategies we backtested, ranked from the one that passed every test to the ones that failed 👇
algocourt.com/report?utm_sou…
Doubling your size after every loss feels like it can't fail.
We simulated it on 10,000 martingale accounts.
94.8% blew up.
48.3% were gone within 100 trades.
Ever tried it? How did it end?
Nova loses 6 trades out of 10.
In our backtest, it still grew the account 2.5x.
Would you keep it running?
A 60% win rate still brings losing streaks.
Across 10,000 simulations, the 90th percentile reached 9 losses in a row.
Could you keep trading after loss 9?
Free PDF: all 75 strategies we backtested, ranked from the one that passed every test to the ones that failed 👇
algocourt.com/report?utm_sou…