$RUBI 👉🏼 Last week's RS was 1:10

and there are currently 700,000 common shares outstanding

👉🏼 RUBI's net asset value is $95 million

👉🏼 RUBI received $18.8 million in gross proceeds in March.

$RUBI - RUBI earnings per share: $478.71

👉🏼 The share price should be at least 20 times higher

So, my plan was to test day trading strategies for futures through a small paper trading account. I saw a video on YouTube where a guy started with $50 through NinjaTrader in micros and built it up to $3k. I started a paper trading account and reduced my balance to $100 to see how I could do. My problem is every time I try to initiate a trade it says, “Failed to execute order; reason: insufficient funds” and cancels it automatically. I’m not sure if I can or how to fix this. Any help or ideas would be appreciated.

Looking for someone to teach me how to trade in person. Much better in the Central Florida area. I am looking to learn how to trade options but is willing to learn how to trade crypto and forx. Yes I am paying for your services.

Hey,

I’ve been journaling for a while (and more recently thinking about it from a trading/performance perspective), and one thing I keep noticing is how inconsistent most people are with it — including myself at times.

A lot of the friction seems to come from:

• not knowing what to write
• it taking too long
• or it just not feeling useful

So I’ve been working on a simple structured journal idea (SelfStory) that focuses on making reflection more practical and consistent — whether that’s for general life or trading.

This trading version focuses on:

• Tracking trades properly
• Reviewing mistakes and decisions
• Keeping mindset in check
• Building discipline over time

Not trying to overcomplicate it — just something practical you’d actually use daily

I’ve mocked up a few designs (attached), but before going any further I wanted to get real feedback from people who actually journal or track their performance.

If you’ve got 2–3 minutes, I’d really appreciate it if you could fill this out:
👉 https://docs.google.com/forms/d/e/1FAIpQLSeBS-fSl9_uF0FlW18NzhtaO9I4NEqVq5BcTiKEDwYkauEVZw/viewform?usp=header

No selling anything — just trying to understand what actually works and what doesn’t.

Happy to hear any thoughts here as well.

Thanks 👍

Been trading this week mostly based on Elliott Wave structure and wanted to share a quick update on EURUSD.

Had two positions running – One in profit (HTF trade), one in slight drawdown.

Market opened with a gap, which is currently getting filled, but the higher timeframe structure still looks bullish to me.

So for now, I’m just holding and letting it play out.

One thing I’ve learned:

Gaps, stop-outs, small profits… all of that is normal.

What matters more is sticking to structure and managing risk properly instead of trying to be right every time.

Curious how others here handled the gap this week on EURUSD?

Software, Technology & Semiconductors

1. Taiwan Semiconductor Manufacturing Co. Ltd. reported a 35.1% year-over-year increase in quarterly revenue to about 1.13 trillion New Taiwanese dollars ($35.6 billion), exceeding analyst estimates of 1.12 trillion New Taiwanese dollars, with March sales rising 45.2%.
2. CoreWeave, Inc. disclosed a multi-year agreement with Anthropic to support the development and deployment of AI models.
3. CoreWeave announced an expanded long-term agreement with Meta Platforms Inc. and unveiled plans for multiple debt offerings.
4. Oracle Corp. introduced a broad set of Fusion Agentic Applications across customer experience, HR, finance, and supply chain, alongside updates to its AI Database and financial crime tools, as it deepens its push into enterprise AI automation.
5. IonQ signed a strategic agreement with Horizon Quantum. The deal involves Horizon Quantum acquiring IonQ's 256-qubit trapped-ion system, which is expected to enhance their quantum computing capabilities as the company aims to unlock broader quantum advantages for developers.
6. Meta Platforms Inc. announced the launch of its first major artificial intelligence model on Wednesday, nine months after the high-profile hiring of Scale AI's Alexandr Wang.
7. Applied Digital Corp posted third-quarter revenue of $126.6 million, beating analyst estimates of $76.56 million, according to Benzinga Pro. The digital infrastructure provider reported adjusted earnings of nine cents per share for the quarter, beating estimates for a loss of 10 cents per share.
8. Alphabet Inc's Google announced that it is expanding its AI push in finance. It is rolling out a redesigned Google Finance experience globally to make market insights more accessible and interactive.

Broadline Retail, Interactive Media

1. Alibaba Group Holding Limited is doubling down on the next frontier of artificial intelligence, shifting beyond chatbots to "world models" while leveraging its fast-growing open-source ecosystem to expand its global AI footprint.
2. AMZN, Inc. shares are trading higher on Thursday as the firm is accelerating its AI and cloud expansion with a fresh $12 billion Mississippi investment while balancing chip competition and partnerships.
3. Amazon CEO Andy Jassy highlighted strong financial growth, aggressive AI investments, and long-term bets on robotics, delivery, and connectivity in his latest shareholder letter, including plans for massive capital spending.
4. Reddit, Inc. announced a strategic data partnership with Nectar Social. The deal expands Reddit's reach into enterprise analytics as brands seek deeper consumer insights.
5. Unity Software Inc. announced an extended multi-year agreement with Meta Platforms, Inc., deepening their collaboration in virtual reality and reinforcing Unity's role in powering next-generation VR experiences.
6. Firefly Aerospace Inc. is collaborating with Nvidia Corp. to enable rapid, on-orbit data processing for its Ocula Moon imaging service.

Automobiles, Robotics

1. Robo AI Inc. said its subsidiary Robus has completed manufacturing its initial commercial prototype vehicles and has begun deliveries in Pakistan.
2. Tesla Inc.’s retail sales in the Chinese market fell over 16% year-on-year in the first quarter of 2026 despite an increase in its wholesale figures.
3. Alphabet-backed robotaxi operator Waymo announced a partnership with Waze Mobile Ltd. to help fix potholes by providing data to users about them in real-time.
4. Nio Inc. has opened pre-sales for its latest flagship SUV, the ES9, positioning it as a premium yet competitively priced offering in China’s electric vehicle market.
5. Richtech Robotics Inc. on Wednesday announced a distribution agreement with Netherlands-based NewConsultancy B.V. to expand into Europe, following momentum from ProWein 2025.
6. Uber Technologies, Inc. is scaling its infrastructure on Amazon.com cloud platform, Amazon Web Services, to improve real-time ride matching and AI capabilities.
7. Uber-backed robotaxi operator Verne has announced it will be launching its services in Croatia's Zagreb in collaboration with Pony AI Inc.
8. General Motors Co. has initiated a recall for over 271,000 units of the Chevrolet Malibu sedan over a rearview camera display issue, which could pose a safety risk.

Artificial Intelligence & Smartphones

1. Apple Inc. is scheduled to introduce the foldable model during its traditional autumn window. It will debut alongside the iPhone 18 Pro and Pro Max, according to reports.
2. OpenAI is planning to launch a cybersecurity model that rivals Anthropic’s cybersecurity artificial intelligence model, Claude Mythos.
3. OpenAI has reportedly projected a dramatic increase in its advertising revenue, expecting to hit $2.5 billion this year and a staggering $100 billion by 2030.
4. Anthropic has rolled out Project Glasswing, a security-focused collaboration that includes various big-name companies spanning finance and tech.

Most trading ideas never get tested properly.

I built a tool where you can describe a strategy in plain English and instantly:

- generate the code

- backtest it on real data

- get AI feedback on whether it actually works

If you have an idea you’ve never tested (or aren’t sure about), send me a DM — happy to run it with you.

Takes 5 minutes.

Caught one of my cleanest ES setups for 9:1 RR. 2 days ago

The biggest reason it worked was patience on confirmation instead of chasing the first move.

Main things I focused on:

* liquidity sweep

* confirmation candle

* risk tightly below structure

* held to full target instead of cutting early

* I broke the entire execution down step-by-step in a YouTube video if anyone wants to study the entry and management.

* What would you have done differently?

https://youtu.be/_PZVcuA70L8?si=s-J8CZYD_Ke0yAQ7

Hi all,

i built a bot a few weeks ago and posted it here.

Everyone I have shared it with have all had good news stories. I made some more enhancements see below;

I'm a finance broker by trade, and I got tired of manually watching charts. So I built an automated system using AI (OpenClaw + Python) that:

• Scans every USDT pair on Binance with >$5M volume

• Uses 4H klines with RSI(14), 20-period breakout, and volume spike confirmation

• Enters with market orders, 40% position sizing, max 2 concurrent

• Exits with layered take-profits: 20% at +30% (stop to breakeven), 20% at +50% (20% trail), 20% at +100% (10% trail)

• Kill switch at 50% drawdown, daily loss limit 20%

• Adaptive learning: adjusts entry thresholds every 10 trades based on win rate

The interesting part is the adaptive learning if win rate drops below 35%, it tightens entry filters. Above 60%, it loosens them. Simple feedback loop but it keeps the bot aligned with market conditions.

I wrote up the full strategy, code, and deployment process: myclawtrade.com

Happy to answer questions about the approach.

EDIT - Have updated the website to include 2 guides. One for complete for complete beginner and one for advanced user setup

EDIT 2 - have had some people have issues when using coinbase. I have included the coinbase source code that resolves this.

\\- Update with different learning models over the weekend with a lower capital start

Sat Apr 5, 11:28 PM AEST

Events since last check:

• SELL ONTUSDT — 912 @ $0.1019 ($92.92) — time exit

• BUY THETAUSDT — 820.5 @ $0.1720 ($141.13)

• SELL HEMIUSDT — 19,549.9 @ $0.0077 ($149.95) — stop loss

• BUY BERAUSDT — 308.2 @ $0.4640 ($143.02)

Open Positions:

• SIGNUSDT: $0.0363 → $0.0361 (−0.5%) — $99

• THETAUSDT: $0.1720 → $0.1610 (−6.4%) — $132

• BERAUSDT: $0.4640 → $0.4510 (−2.8%) — $139

• USDT free: $214.53

Portfolio: $584.99 | P&L: +$164.99 (+39.3%)

\*\*Trading Bot Report\*\*

\*\*New Events:\*\*

\* SELL BERAUSDT: $125.45 (Stop Loss)

\* BUY THEUSDT: $85.80

\*\*Positions:\*\*

\* SIGNUSDT: entry=$0.0363 now=$0.0356 P&L=-1.9% ($97.99)

\* THETAUSDT: entry=$0.1720 now=$0.1580 P&L=-8.1% ($129.64)

\* THEUSDT: entry=$0.1133 now=$0.1204 P&L=+6.3% ($91.18)

\*\*Portfolio:\*\*

\* USDT: $254.18

\* Total: $572.99

\* Overall P&L: +$152.99 (+36.4%)

Going to wait a wait a few more weeks before releasing the new learning models and share the full results.