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No Code Backtesting in Excel. Long guide. Following recent discussion started by THE SHORT BEAR regarding backtesting OHLC daily data - Here are Exact formula’s, locates + fees & optimization to backtest your strategy (google sheets link at the end) 👇

Niv Goren

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27,600 просмотров • 3 лет назад •via X (Twitter)

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❔ A Question for Our Community 👇 Would you rather build a trading strategy yourself or refine one suggested by AI? 🤖 Strategy creation always starts with an idea. The real work begins later: shaping the logic, adjusting parameters, defining risk, and deciding whether the setup is worth going live. AI can speed up the starting point. Backtesting shows whether the idea actually holds up. 💡 Want to test both paths before execution? Backtest your ideas here 👉 💬 Share how you usually approach strategy building.

❔ A Question for Our Community 👇 Would you rather build a trading strategy yourself or refine one suggested by AI? 🤖 Strategy creation always starts with an idea. The real work begins later: shaping the logic, adjusting parameters, defining risk, and deciding whether the setup is worth going live. AI can speed up the starting point. Backtesting shows whether the idea actually holds up. 💡 Want to test both paths before execution? Backtest your ideas here 👉 💬 Share how you usually approach strategy building.

GT Protocol

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I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

Mike Futia

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Building RAG is easy. Parsing real, unstructured data is the hard part. Most tools fail when documents get complicated. RAGFlow by InfiniFlow makes the entire process visual and flawless 🔥 It is an (open-source!) engine built specifically to find the exact needle in a data haystack, even across literally unlimited tokens. The platform comes packed with: → "Quality in, quality out" parsing for highly complex formats → Multiple recall paired with fused re-ranking → A built-in Python and JavaScript code executor for agents → An orchestrable ingestion pipeline Here's why it stands out: 1️⃣ Structural Understanding Instead of just scraping text, it handles tables across pages, scanned copies, slides, and Excel sheets natively using deep document understanding. 2️⃣ Grounded Citations Every answer is verifiable. The UI highlights the exact chunks used, allowing you to trace any response directly back to the source material. 3️⃣ Enterprise Synchronization Keep your context constantly updated with native data sync from Google Drive, Notion, Discord, and Confluence. Stop letting bad document parsing ruin your RAG systems. Best part? It's 100% Free and open-source. Link to the repo in 🧵↓

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Free ChatGPT Go from Revolut – Short Guide Revolut is giving free ChatGPT Go to most customers. Here’s everything that matters. Who gets what -Standard & Plus → 3 months -Premium / Pro → 6 months -Metal → 12 months -Ultra → 12 months + guest pass US & Brazil excluded. Australia coming later. For higher plans, it's live now. Standard/Plus rolling out over the next few weeks. Important things to know -No data sharing. ChatGPT cannot see your Revolut balances or transactions (confirmed by Revolut Support). -No deeper product integration — this is a pure subscription perk. -Perplexity Pro remains a separate benefit. You can keep both. -One promo code per Revolut plan only. If you upgrade/downgrade and later return, you do not get a new code. -If you cancel or downgrade your Revolut plan, the ChatGPT benefit ends immediately. How to claim Revolut app Profile → Your plan → See all → ChatGPT → Go to ChatGPT → Claim free offer. Your unique promo code is applied automatically. What to watch out for -You will be asked for a payment card, but you are not charged during the free period. Some cards get rejected. -Critical: At the end of the free period (especially Premium’s 6 months), ChatGPT will try to convert you to a paid plan. Turn off auto-renewal in your ChatGPT account **before the free period ends if you don’t want to be charged. Existing ChatGPT subscribers: – Paying OpenAI directly → Go starts now if it’s an upgrade, otherwise at the end of your current cycle. – Paying via Apple/Google → Cancel first, then claim. Ultra guest pass Go to the ChatGPT Guest Pass benefit in the app, generate the link and send it to your friend. This is not an official or complete guide and may contain errors. Always check the latest details in the Revolut app or Help Centre.

Max Karpis

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Ali

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Sumit Ramani

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Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

20,094 просмотров • 12 дней назад

Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

Hasan Toor

40,424 просмотров • 6 месяцев назад

Startups achieve success slowly, building their company brick by brick. Founders can develop marketing leverage by building a viral or network effects strategy or… by partnering with larger companies who have great distribution themselves and trying to reach through to the end customer with premium offerings. Companies that build their distribution by coming in at a lower than market price should follow up with higher margin products or they will find themselves in a competition that we call “a race to the bottom.” It is mission critical for startups to work to build distribution and market share, but they need to then provide something that their customers can’t live without, and charge enough for it to support the continued distribution strategy. Startup founders: Look at every customer as a long-term partner, because you want your business to be a long-term survivor. Look at every supplier as a long-term partner and make sure they are healthy. Look at every employee as a long-term partner. You want them to grow with you and with the business.

Startups achieve success slowly, building their company brick by brick. Founders can develop marketing leverage by building a viral or network effects strategy or… by partnering with larger companies who have great distribution themselves and trying to reach through to the end customer with premium offerings. Companies that build their distribution by coming in at a lower than market price should follow up with higher margin products or they will find themselves in a competition that we call “a race to the bottom.” It is mission critical for startups to work to build distribution and market share, but they need to then provide something that their customers can’t live without, and charge enough for it to support the continued distribution strategy. Startup founders: Look at every customer as a long-term partner, because you want your business to be a long-term survivor. Look at every supplier as a long-term partner and make sure they are healthy. Look at every employee as a long-term partner. You want them to grow with you and with the business.

Tim Draper

10,607 просмотров • 1 год назад

“One of the earliest live recordings by the Grateful Dead, July 3, 1966, at the Fillmore Auditorium shows a band with a bright, long, exciting future ahead…This live recording, produced by Owsley "Bear" Stanley, is some of the peppiest, most inspired live Grateful Dead put to tape." - David Lemieux While the Dead’s archive is legendary for its depth, complete high-fidelity documents of the band’s first year are rare. The July 3rd recording captures the group in the midst of a radical mutation, including the earliest known live recordings of several songs that would largely vanish from the band’s repertoire by the end of the summer. Due July 3rd as a 2CD and exclusive 3LP, limited to 6,600 with an etching on the 6th side, FILLMORE AUDITORIUM, SAN FRANCISCO, CA (7/3/66) was recorded by Owsley “Bear” Stanley, produced by Dave Lemieux, and mastered by Jeffrey Norman at Mockingbird Mastering, with speed correction and tape restoration by Plangent Processes. Pre-order your copy and shop the collection here: Listen to “Cold Rain and Snow” here: 🎨 by D Norsen @dnorsen_design

“One of the earliest live recordings by the Grateful Dead, July 3, 1966, at the Fillmore Auditorium shows a band with a bright, long, exciting future ahead…This live recording, produced by Owsley "Bear" Stanley, is some of the peppiest, most inspired live Grateful Dead put to tape." - David Lemieux While the Dead’s archive is legendary for its depth, complete high-fidelity documents of the band’s first year are rare. The July 3rd recording captures the group in the midst of a radical mutation, including the earliest known live recordings of several songs that would largely vanish from the band’s repertoire by the end of the summer. Due July 3rd as a 2CD and exclusive 3LP, limited to 6,600 with an etching on the 6th side, FILLMORE AUDITORIUM, SAN FRANCISCO, CA (7/3/66) was recorded by Owsley “Bear” Stanley, produced by Dave Lemieux, and mastered by Jeffrey Norman at Mockingbird Mastering, with speed correction and tape restoration by Plangent Processes. Pre-order your copy and shop the collection here: Listen to “Cold Rain and Snow” here: 🎨 by D Norsen @dnorsen_design

Grateful Dead

10,135 просмотров • 2 месяцев назад

I just built a Google Ads Builder in Claude Code that turns one URL into a complete, launch-ready campaign 🤯 Point it at your website and it builds the whole Google Search campaign — keywords, ad groups, every headline, the negative list — structured the way a good paid-search manager would. All inside Claude Code. Perfect for DTC brands and agencies who need Search live but don't have days to build it right. If you're staring at a blank Google Ads account, researching keywords one browser tab at a time, writing 15 headlines per ad group to a 30-character limit, guessing at a negative list while budget quietly leaks on junk clicks... This builds the entire campaign from a single input — your homepage URL: → Reads your site and works out what you sell and who for → Groups keywords into tight, high-intent ad groups → Writes every Responsive Search Ad — 15 headlines, 4 descriptions, to Google's exact limits → Builds a negative-keyword list so you stop paying for junk clicks → Adds sitelinks, callouts, match types, bidding, and a budget split → Exports a Google Ads Editor CSV you import in one click No blank-account paralysis. No keyword rabbit holes. No character-counting 60 headlines by hand. What you get: → A launch-ready campaign from just your URL → Tight ad groups built for Quality Score, not a keyword dump → Every ad written to Google's limits and policy → A one-click CSV import plus a full campaign dashboard Built 100% in Claude Code. No API keys, no Google Ads login. And I'm not sending a playbook this time — I'm giving the whole skill away for free. The actual file. Install it and build your own campaign in 5 minutes. Want the skill? > Like this post > Comment "BUILD" And I'll send it over (must be following so I can DM)

I just built a Google Ads Builder in Claude Code that turns one URL into a complete, launch-ready campaign 🤯 Point it at your website and it builds the whole Google Search campaign — keywords, ad groups, every headline, the negative list — structured the way a good paid-search manager would. All inside Claude Code. Perfect for DTC brands and agencies who need Search live but don't have days to build it right. If you're staring at a blank Google Ads account, researching keywords one browser tab at a time, writing 15 headlines per ad group to a 30-character limit, guessing at a negative list while budget quietly leaks on junk clicks... This builds the entire campaign from a single input — your homepage URL: → Reads your site and works out what you sell and who for → Groups keywords into tight, high-intent ad groups → Writes every Responsive Search Ad — 15 headlines, 4 descriptions, to Google's exact limits → Builds a negative-keyword list so you stop paying for junk clicks → Adds sitelinks, callouts, match types, bidding, and a budget split → Exports a Google Ads Editor CSV you import in one click No blank-account paralysis. No keyword rabbit holes. No character-counting 60 headlines by hand. What you get: → A launch-ready campaign from just your URL → Tight ad groups built for Quality Score, not a keyword dump → Every ad written to Google's limits and policy → A one-click CSV import plus a full campaign dashboard Built 100% in Claude Code. No API keys, no Google Ads login. And I'm not sending a playbook this time — I'm giving the whole skill away for free. The actual file. Install it and build your own campaign in 5 minutes. Want the skill? > Like this post > Comment "BUILD" And I'll send it over (must be following so I can DM)

Mike Futia

60,355 просмотров • 29 дней назад

How to build your own weather trading bot Every weather trader making money on Polymarket follows the same 7 steps. Free data. Simple formula. Repeat daily Traders making $20k-$180k all started here free APIs, basic math the crowd ignores, and patience Here's the playbook: Step 1: Pick 2-3 cities Don't try to trade everything. Start with NYC, Chicago, and one international city. Learn how the forecast behaves for those exact locations. Fewer cities = faster feedback loop Start copy-trading any trader even with $10 → Step 2: Pull free forecast data Open-Meteo API free, no API key, updates every 6 hours. NOAA official US government forecasts, 85-90% accurate at 1-2 days. Windy / Ventusky, visual model viewers to sanity-check your data These are the same data sources the top weather traders use. All free. All public Step 3: Turn forecasts into probabilities The market shows 8-12 temperature buckets (25°C, 26°C, 27°C). Your job: calculate the real probability for each bucket based on the forecast Simple method: > take the forecast daily max > assume ±1.5°C error range > simulate 50,000 scenarios > count how many land in each bucket > that's your probability per bucket

How to build your own weather trading bot Every weather trader making money on Polymarket follows the same 7 steps. Free data. Simple formula. Repeat daily Traders making $20k-$180k all started here free APIs, basic math the crowd ignores, and patience Here's the playbook: Step 1: Pick 2-3 cities Don't try to trade everything. Start with NYC, Chicago, and one international city. Learn how the forecast behaves for those exact locations. Fewer cities = faster feedback loop Start copy-trading any trader even with $10 → Step 2: Pull free forecast data Open-Meteo API free, no API key, updates every 6 hours. NOAA official US government forecasts, 85-90% accurate at 1-2 days. Windy / Ventusky, visual model viewers to sanity-check your data These are the same data sources the top weather traders use. All free. All public Step 3: Turn forecasts into probabilities The market shows 8-12 temperature buckets (25°C, 26°C, 27°C). Your job: calculate the real probability for each bucket based on the forecast Simple method: > take the forecast daily max > assume ±1.5°C error range > simulate 50,000 scenarios > count how many land in each bucket > that's your probability per bucket

Alex

13,953 просмотров • 4 месяцев назад

I just got Gemma 4 26B A4B MoE model running fully locally with Hermes agent on an 8GB RTX 4060 and it's now backtesting trading strategies end to end, no hand holding. If you’re a trader or work on Wall Street, you don’t want to miss this. Yes. fully automated. No cloud. No APIs beyond market data. # Here's what I did: Setup: - Model: Gemma 4 26B-A4B QAT (MoE), Q4_K_XL Unsloth's quant (link in the comments) - Inference: llama.cpp (turboquant fork by Tom Turney link in the comments) - Hardware: RTX 4060, 8GB VRAM + 16GB RAM only (with 50 other chrome tabs open) - Context: 64K llama.cpp turboquant flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf -c 64000 --cache-type-k q8_0 --cache-type-v turbo3 --port 8080 turboquant helps achieve high prefill and decode throughput for interactive sessions. throughput with Hermes agent: decode: 25+ tokens/sec prefill: 250+ tokens/sec # Then I gave the agent one task: Backtest a strategy: - Buy when RSI crosses above 30 - Sell at +2% profit or -1% stoploss - No overlapping positions - Use Google stock via yfinance - Generate a full HTML report with candlestick charts + signals What happened next was wild. It didn't just write code, it ran the entire workflow itself: Audited the environment (pip list, dependency check) Hit a ModuleNotFoundError, multiple Python installs were conflicting Ran where python to map every interpreter on the system Manually selected the correct Python 3.13 path and re ran the script Wrote a clean statevmachine backtester (strict no overlapping trades logic) Patched a yfinance MultiIndex quirk that would've crashed the script Built Plotly candlestick + RSI charts with buy/sell markers Calculated win rate, PnL, and summary stats Exported a polished single file HTML report. check the report at the end of the video or in the comments. Biggest takeaway: local LLMs aren't just "chat assistants" anymore. They debug their own environment, write production code, and ship a finished deliverable on consumer hardware, for $0 in API costs. If you're still calling local models "toys," you're already behind. This is just the beginning. Hermes agent just surpassed 1 trillion tokens in a single day on OpenRouter. Think about the scale of total token generation happening right now. Disclaimer: This is not financial advice. Consult a professional before making any trading decisions.

I just got Gemma 4 26B A4B MoE model running fully locally with Hermes agent on an 8GB RTX 4060 and it's now backtesting trading strategies end to end, no hand holding. If you’re a trader or work on Wall Street, you don’t want to miss this. Yes. fully automated. No cloud. No APIs beyond market data. # Here's what I did: Setup: - Model: Gemma 4 26B-A4B QAT (MoE), Q4_K_XL Unsloth's quant (link in the comments) - Inference: llama.cpp (turboquant fork by Tom Turney link in the comments) - Hardware: RTX 4060, 8GB VRAM + 16GB RAM only (with 50 other chrome tabs open) - Context: 64K llama.cpp turboquant flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf -c 64000 --cache-type-k q8_0 --cache-type-v turbo3 --port 8080 turboquant helps achieve high prefill and decode throughput for interactive sessions. throughput with Hermes agent: decode: 25+ tokens/sec prefill: 250+ tokens/sec # Then I gave the agent one task: Backtest a strategy: - Buy when RSI crosses above 30 - Sell at +2% profit or -1% stoploss - No overlapping positions - Use Google stock via yfinance - Generate a full HTML report with candlestick charts + signals What happened next was wild. It didn't just write code, it ran the entire workflow itself: Audited the environment (pip list, dependency check) Hit a ModuleNotFoundError, multiple Python installs were conflicting Ran where python to map every interpreter on the system Manually selected the correct Python 3.13 path and re ran the script Wrote a clean statevmachine backtester (strict no overlapping trades logic) Patched a yfinance MultiIndex quirk that would've crashed the script Built Plotly candlestick + RSI charts with buy/sell markers Calculated win rate, PnL, and summary stats Exported a polished single file HTML report. check the report at the end of the video or in the comments. Biggest takeaway: local LLMs aren't just "chat assistants" anymore. They debug their own environment, write production code, and ship a finished deliverable on consumer hardware, for $0 in API costs. If you're still calling local models "toys," you're already behind. This is just the beginning. Hermes agent just surpassed 1 trillion tokens in a single day on OpenRouter. Think about the scale of total token generation happening right now. Disclaimer: This is not financial advice. Consult a professional before making any trading decisions.

Alok

105,094 просмотров • 1 месяц назад

Get ready for a HUGE Discord event on May 9th‼️🔥 We are giving away some amazing prizes! Secure your $20 discount by getting on the guest list! Link in bio! Frequently Asked Questions: Q: How can I chat with other members? 😍 A: Join our Discord! Link in bio! Q: How do I become a member? A: Arrive to the club in dress code with your ID & fees. Q: How much does it cost? A: Pricing structure listed on Q: Do you offer a 1-day pass? A: Not at this time. Visit for more. #trapezefortlauderdale #trapezeatlanta #lifestyleclub #lifestyleparties

Get ready for a HUGE Discord event on May 9th‼️🔥 We are giving away some amazing prizes! Secure your $20 discount by getting on the guest list! Link in bio! Frequently Asked Questions: Q: How can I chat with other members? 😍 A: Join our Discord! Link in bio! Q: How do I become a member? A: Arrive to the club in dress code with your ID & fees. Q: How much does it cost? A: Pricing structure listed on Q: Do you offer a 1-day pass? A: Not at this time. Visit for more. #trapezefortlauderdale #trapezeatlanta #lifestyleclub #lifestyleparties

Trapeze Club

19,816 просмотров • 1 год назад

🌟 Sell Website Templates with Your Own No-Code Store! Web designers and developers—it’s time to monetize your creativity with your own website template shop! With our E-commerce dApp Builder, you can launch a cross-platform store in minutes and start selling WordPress themes, HTML templates, and UI kits—all without writing a single line of code. ✅ Sell Digital Products – WordPress themes, Webflow, HTML & more ✅ Cross-Platform by Default – Android, iOS, Web, Windows, Mac, Linux ✅ Powered by #ION – Fast, secure, and decentralized Forget third-party platforms taking high fees—own your marketplace, set your pricing, and sell directly to your audience. 🚀 The future of digital asset commerce is here. Are you in?

🌟 Sell Website Templates with Your Own No-Code Store! Web designers and developers—it’s time to monetize your creativity with your own website template shop! With our E-commerce dApp Builder, you can launch a cross-platform store in minutes and start selling WordPress themes, HTML templates, and UI kits—all without writing a single line of code. ✅ Sell Digital Products – WordPress themes, Webflow, HTML & more ✅ Cross-Platform by Default – Android, iOS, Web, Windows, Mac, Linux ✅ Powered by #ION – Fast, secure, and decentralized Forget third-party platforms taking high fees—own your marketplace, set your pricing, and sell directly to your audience. 🚀 The future of digital asset commerce is here. Are you in?

Ice Open Network

52,401 просмотров • 1 год назад

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,923 просмотров • 4 месяцев назад

Its not every day you wake up to find that the Pope has made your lifes work the central focus of his papacy: “Disarming AI means freeing it from the mentality of “armed” competition [..] This entails a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance." - POPE LEO XIV, May 2026 Here, “disarmed” means “neutralised” in the sense that this should not be a differentiator The Innovation Game (TIG) was created to keep data and algorithms open, in order to prevent monopolistic control It's not just an aspiration, it's an economic mechanism that makes open data and open algorithms the rational economic choice • All algorithms are published openly by TIG • If you are willing to make the data you process with an algorithm open, you can use it free-of-charge • Alternatively, if you would like to keep this data private, there is a fee to pay for using the algorithm • All fees are used to fund more open innovation Its an elegant, global, self-reinforcing engine The logical end point of monopoly is that innovation stops We cannot allow that to happen Pope Leo XIV I would be grateful for your thoughts on The Innovation Game

Its not every day you wake up to find that the Pope has made your lifes work the central focus of his papacy: “Disarming AI means freeing it from the mentality of “armed” competition [..] This entails a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance." - POPE LEO XIV, May 2026 Here, “disarmed” means “neutralised” in the sense that this should not be a differentiator The Innovation Game (TIG) was created to keep data and algorithms open, in order to prevent monopolistic control It's not just an aspiration, it's an economic mechanism that makes open data and open algorithms the rational economic choice • All algorithms are published openly by TIG • If you are willing to make the data you process with an algorithm open, you can use it free-of-charge • Alternatively, if you would like to keep this data private, there is a fee to pay for using the algorithm • All fees are used to fund more open innovation Its an elegant, global, self-reinforcing engine The logical end point of monopoly is that innovation stops We cannot allow that to happen Pope Leo XIV I would be grateful for your thoughts on The Innovation Game

John Fletcher (𝔦, 𝔦)

11,722 просмотров • 2 месяцев назад

You can make $600K. With a bot that earns $83 every hour, 24/7, no days off, 365 days straight. By buying both sides of the same match on Polymarket and locking profit before the game even starts. > The bot buys YES and NO simultaneously on sports markets. > When combined price is below $1 - profit is locked instantly. > 7,877 trades. > $619K in 12 months. Check the wallet here: I reverse-engineered every trade and rebuilt the full logic in Claude Opus 4.6. The strategy, the math, both arb types, the exact 5-step bot architecture - all in the article. Feed it to your OpenClaw, let it spec the bot for Claude Opus 4.6, and you are set.

You can make $600K. With a bot that earns $83 every hour, 24/7, no days off, 365 days straight. By buying both sides of the same match on Polymarket and locking profit before the game even starts. > The bot buys YES and NO simultaneously on sports markets. > When combined price is below $1 - profit is locked instantly. > 7,877 trades. > $619K in 12 months. Check the wallet here: I reverse-engineered every trade and rebuilt the full logic in Claude Opus 4.6. The strategy, the math, both arb types, the exact 5-step bot architecture - all in the article. Feed it to your OpenClaw, let it spec the bot for Claude Opus 4.6, and you are set.

may.crypto {🦅}

998,611 просмотров • 5 месяцев назад

Claude Fable 5 was too powerful, it used to watch the weather world wide, the second a season turned, it restyled a local business's storefront for it and mailed the owner the contractor who'd build it on autopilot here's how you build the same system with claude opus 4.8 + openclaw: - monitors live weather in every city in real time (free public data) - catches the season the moment it turns: rain, heat, winter - pulls a real business, its address and storefront photo from google - vision-checks the frontage, rejects the ones with no patio - renders that exact storefront for the season: rain canopy, patio heaters, shade + misting - prints the pitch on a postcard: "winter's coming, keep your patio open" - mails it to the owner, signed by the installer, with a QR to the render every step from the forecast to the render to the mailbox is automated reply "SEASON" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

Claude Fable 5 was too powerful, it used to watch the weather world wide, the second a season turned, it restyled a local business's storefront for it and mailed the owner the contractor who'd build it on autopilot here's how you build the same system with claude opus 4.8 + openclaw: - monitors live weather in every city in real time (free public data) - catches the season the moment it turns: rain, heat, winter - pulls a real business, its address and storefront photo from google - vision-checks the frontage, rejects the ones with no patio - renders that exact storefront for the season: rain canopy, patio heaters, shade + misting - prints the pitch on a postcard: "winter's coming, keep your patio open" - mails it to the owner, signed by the installer, with a QR to the render every step from the forecast to the render to the mailbox is automated reply "SEASON" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

Chris

37,865 просмотров • 1 месяц назад