using breadth itself as the regime label rather than an external filter is clean. the count of how many majors flip negative simultaneously is the backtestable threshold.

$5,000 → $100,000,000 That's what Richard Dennis pulled off with his legendary trading system. The strategy? Ride breakouts. Cut losers fast. Let winners run. 🐢 The Turtle Trading Strategy is now live and fully backtestable on TrendSpider. 🐢 trendspider.cc/turtletools

A major upgrade is coming for miners on Subnet 6. This Monday, we are releasing a backtestable search endpoint for Numinous miners. Forecasting agents need more than live search. To evaluate complex agent configurations over long horizons, miners need access to historical information exactly as it would have been available at the time. That is the problem this endpoint solves. A swarm of agents continuously researches our forecasting questions, finds relevant news, base rates, and contextual data, then stores that information in a queryable corpus. This creates a historical search layer with hundreds of thousands of links available to Numinous miners. Miners can take the code of a top agent, run it across several months of prior questions, and evaluate performance with statistical significance instead of waiting weeks for live events to resolve. Live scoring remains the core of the subnet. But backtesting gives miners and us a faster way to test architectures, compare configurations, and improve forecasting systems without leaking future information. Forecasting agents need memory. Now Numinous miners get a backtestable one.

Any trading strategy you've seen on youtube by your favourite Youtuber can be turned into a backtestable pine script in under 30mins.. claude does the conversion, tradingview runs the test, and you find out fast whether the strategy actually holds up. i ran this with @MarciSilfrain measured move trend approach (320% return at the world trading championship). the whole loop took about 40 minutes. ▫️ the workflow is simple: find a trading strategy explained clearly on youtube. transcribe the rules.. you can either paste the youtube link to claude if you've got notebooklm-py wired in, or just type the rules out from the video 
feed the entry, stop, and exit rules into claude 
claude writes the pine script 
paste it into tradingview's pine editor and run a backtest on whatever ticker and timeframe you want 
read the results, tell claude what to improve, regenerate ▫️ the prompt that actually works: i want to convert a trading strategy into Pine Script v5 for TradingView. here are the rules: entry: [paste rules] stop loss: [paste rules] exit / take profit: [paste rules] position sizing: [paste rules] timeframe: [intraday / daily / weekly] write a complete, backtestable Pine Script v5 strategy. include strategy.entry, strategy.exit, alert conditions, and plot the key levels on the chart so i can verify the logic visually. after the code, list the assumptions you made and flag anything ambiguous from the rules so i can correct it. the "flag ambiguous" line is what saves you. most youtube strategies leave out edge cases.. gap opens, what counts as a "valid setup," etc. and claude asks instead of guessing wrong. ▫️ the verify loop once the script compiles, don't just trust the green PnL number. load the strategy on 3-5 different tickers and timeframes and look at: - the equity curve shape (smooth uptrend or wild swings)
- max drawdown vs. peak return
- trade count (too few = no statistical significance)
- what the trades look like on the chart (does each entry match the original rules visually?) if any of those look off, tell claude what's wrong and have it fix the logic. 2-3 iterations usually gets you to a strategy you can actually evaluate. ▫️ direct tradingview connection (skip the copy-paste entirely) if you've got the tradingview MCP wired into claude code, the whole loop runs in one prompt. claude writes the pine script, injects it into your tradingview editor, compiles it, reads the errors, fixes them, and pulls the backtest results back into the conversation. setup: paste this into claude code: Install the TradingView MCP server. Clone github.com/tradesdontlie/tra…, run npm install, add to my MCP config at ~/.claude/.mcp.json, and launch TradingView with the debug port. then verify with: Use tv_health_check to confirm TradingView is connected. now you can just say "convert this strategy into pine script, test it on $BTC 4h, and show me the equity curve" and watch the whole thing run end to end.

Our backtestable search endpoint is now live for Numinous miners. The endpoint integrates Numinous news sources, RSS feeds, geopolitics live data, base rates, and broader agentic retrieval into a growing research corpus. This gives miners a stronger foundation for building forecasting agents on the subnet. It also makes miner outputs easier to backtest, validate, and integrate into Numinous meta-models. In the coming days, this search endpoint will become the required way to retrieve data on the subnet, making miner agents truly backtestable. Search: eversight.numinouslabs.io/do… Fetch: eversight.numinouslabs.io/do…

A freelancer wants extra income, an employee wants another stream of revenue. So they start trading. The problem? Most people risk money on strategies they've never tested. We're beta testing a feature that turns trading ideas from PDFs and tutorials into backtestable systems. Because hope isn't an edge. Data is.

Trade breakout setups with greater confidence using automated support and resistance analysis, momentum-confirmed trade signals, and backtestable KingRenko$ charts – all designed to help create a more structured breakout trading process. 👉 renkokings.com/trendline-fib…

insider allocation at launch plus no lockups is a structure that's been backtestable as a loss for retail every single time - the chart tells you everything before the narrative does

mmm love un-backtestable strategies - the AI era is a nightmare

🆕 NEW STRATEGY · Keltner Channel Breakout Mean-reversion cousin of Bollinger Bands — now backtestable. Methodology live stats at /strategies/keltner-breakout Read more 👉 tradingstrategies.work/wiki#… 📚 Study the Past — Improve your Future! ⚠️ No financial advice #NewStrategy #Backtesting #Crypto