Kyrito.404
101 posts
Python Question:
What is the output of this code?
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@clcoding hours debugging it turned out to be a missing semicolon🤣
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🚀 Been testing Strategy Studio by @minara and honestly… this feels like having an AI quant assistant.
Built a strategy:
→ SuperTrend Adaptive + AI scoring + volume filter
→ Focus: BTC 1H trend-following with risk control
📊 Backtest highlights:
• Outperform BTC by +144%
• Total profit: +239%
• Winrate: ~47% (but strong RR carries it)
• Max DD: ~29%
What stood out:
Instead of guessing entries, the AI helps score signals based on volatility, EMA trend & volume → way more structured than manual trading.
💡 Biggest insight:
Small tweaks in ATR multiplier & entry threshold changed performance A LOT. Optimization actually matters.
Still refining (v2 coming soon 👀), but this already shows how AI can turn simple ideas into real strategies.
If you’re not backtesting your trades yet… you’re basically trading blind.
#MinaraStrategyStudio
DươngLso@Duonglso
Just built a SOLUSDT 1H strategy on @minara Strategy Studio and the results look great at first glance… but also taught me a lot about hidden risk. Strategy idea: A simple mean-reversion short-only setup using Bollinger Bands. •Short when price overextends above the upper band •Exit at fixed Take Profit (~2%) •No Stop Loss (initial version) Parameters: •BB Period: 20 •BB Multiplier: 2.0 •Timeframe: 1H Backtest results: •Total Profit: +93% •Win rate: 100% •Trades: 46 •Max Drawdown: ~38% •Sharpe: 0.96 At first, this looks like a “perfect” strategy… but digging deeper: Some trades had MAE up to -47% before hitting TP. That means price moved heavily against the position before reversing which is extremely risky, especially with leverage. Key takeaway: Win rate alone means nothing. A strategy can show 100% win rate but still be dangerous if: •no Stop Loss •high drawdown inside trades •relies on mean reversion in strong trends What I like about Strategy Studio is how easy it is to spot this: idea → build → backtest → analyze risk Next step for me: •add Stop Loss •test volatility filters •improve risk-adjusted returns instead of chasing win rate If you’re testing strategies, don’t just look at profit look at how it gets there. #MinaraStrategyStudio
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Huge week for tech! 🚀 Here’s what’s trending on GitHub:
🔥 DeepSeek V4 drops with god-tier power
🔥 GPT Image 2 is honestly mind-blowing
🔥 NASA leaked the OG Apollo 11 source code 🌕
🔥 Open-source is coming for Bloomberg terminal
The AI race is wild.
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Observing the market, automating trades, and executing actions whenever predefined conditions are met.
Those are the two most basic concepts I understood when I first started learning about and using Minara Workflow. Welcome to #MinaraWorkflow
@minara
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Konnex: Shaping a Future of Autonomous, Transparent Robots
Konnex opens the door to a world of autonomous robots where every action is guaranteed by maximum transparency and reliability. By harnessing the groundbreaking power of L1 based on Substrate and the Proof of Physical Work mechanism, Konnex has created a revolutionary platform where every robot interaction not only occurs but is also rigorously verified by a network of independent nodes.
Imagine a future where robots not only perform tasks but also provide authentic proof of their actions. Konnex makes that a reality. The Proof of Physical Work mechanism ensures that every task performed by a robot is accompanied by a corresponding physical commitment, eliminating the possibility of fraud or forgery. This means that robot decisions and actions are based on objective facts.
The Substrate-based L1 platform offers exceptional flexibility and scalability, making it easy for Konnex to integrate into a wide range of applications and industries. From factory automation to service robots, Konnex promises to redefine how we interact with and trust robots in the future. This is a significant step forward in building an intelligent, efficient, and completely reliable robotics ecosystem.
@konnex_world #konnex_world
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AI-Adaptive SuperTrend Strategy for BTC: In-depth Analysis with Minara
Today, we'll explore the AI-Adaptive SuperTrend strategy and evaluate its effectiveness in the Bitcoin market, through the lens of Minara.
Minara backtested this strategy on the 4-hour BTCUSD pair from 2022 to 2026. The results were truly impressive, promising to be a useful tool for traders.
Hiệu quả vượt trội qua các chỉ số:
Minara presented detailed performance indicators after the backtest. Net profit reached an impressive level.
With a +275.79% return, equivalent to $27,579 in profit from an initial capital of $10,000.
Notably, the effectiveness of this strategy far surpassed the traditional Buy & Hold method, with a growth of +104.93% compared to +170.87% for Buy & Hold.
This demonstrates the strategy's sensitivity and adaptability in exploiting market fluctuations.
Beyond profit, the risk management indicators are also commendable.
The maximum drawdown ratio was 28.71%, accompanied by a Sharpe Ratio of 1.17, a Sortino Ratio of 1.07, and a Calmar Ratio of 2.40.
These figures reflect the ability to tightly control risk and optimize the return on investment per unit of risk.
In terms of overall trading performance, Minara executed 100 trades over four years (2022-2026), with a win rate of 48%.
Although the win rate isn't exceptionally high, the Profit Factor of 1.81 demonstrates its effectiveness in terms of profitability per trade. The average profit per trade was $1,283, while the average loss per trade was only $654.
This shows that the strategy is capable of generating large winning trades and effectively managing losing trades.
Intelligent operating mechanism:
The AI-Adaptive SuperTrend strategy operates based on a combination of factors, providing a flexible and powerful trading system:
> AI-Adaptive SuperTrend: This is the core element, with an automatically adjusting ATR (Average True Range) multiplier to identify market trends (trending, ranging, volatile). This adaptability ensures the strategy always stays close to real-world developments.
> Dynamic Mode Detection: Uses the ADX indicator in combination with the ADX and ATR ratios to classify the market and identify potential sideways trading zones.
> AI Scoring System (0-100): This is a unique AI indicator system combining five key factors: volume surge, displacement, EMA alignment, regime quality, and band distance. This AI score provides a comprehensive assessment of a signal's quality.
> Entry Threshold: Enter trades when the AI score reaches or exceeds 65/100, ensuring only high-probability trades are executed.
> Risk Management (Stop Loss & Take Profit): Apply Stop Loss (SL) based on ATR (SL based on ATR 6x) and Take Profit (TP) based on the Risk:Reward ratio of 2.5x, along with a 5-bar cooldown mechanism. This helps optimize profits and limit losses.
Key Highlights of the Strategy:
Short trades outperformed buy trades during the 2022-2024 period (53.2% vs. 43.4%), demonstrating the ability to capitalize on downtrends.
> Long-term holding signals: Trades held for longer than 43 bars had a win rate of 71.4%, proving the strategy's ability to hold high-potential profitable positions.
> Stable profit curve: The Equity curve shows stable growth (equitySlope: rising), with little sudden fluctuation, providing reassurance to investors.
Most importantly, Minara provided traders with insightful perspectives on the AI-Adaptive SuperTrend strategy for Bitcoin.
@minara #MinaraStrategyStudio
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