fableにドル円のヒストリカルデータを投げただけで発見してくれた手法をPineScriptにしてバックテストしてみました トレールは使ってないし、mqlに変換して同様に右肩の収支曲線ができたのでこれは即採用！

Usually tradingview indicators via pinescript cannot be equipped with Artificial Intelligence. But this code I am creating measures how well past buy/sell signals correlated with subsequent BTC moves and adjusts the signal threshold dynamically, it's the closest thing I could program that 'learns' from past events and tries to become better. It compares Bitcoin to competition with the US dolar yields on the 5,10 and 30 year bonds. My theory is that large traders would get into such bonds if their yield is high enough instead of risking it on risky assets such as Bitcoin. This is giving me good entry points for Shorting or Longing a short term trade. This indicator is NOT for long term trading or DCA'ing. It just gives signs when bitcoin is over extended and thus a short is in play or when it is oversold and longing with leverage would be ok. 8 indicators, adaptive signal suppression, and a dynamic weighting system that shifts confidence based on what's actually worked historically. I am not 100% confident with this version, hence it's in BETA mode, but I will keep working on it. The Code is released in the first comment below this post, complete Transparency, completely for FREE. Just copy and paste it in your pinescript editor and please let me know what you think and if you understand code let me know how I can improve The code, as is expected with such a complicated indicator, is a bit on the longer side and it takes time to run, but when it does I assure you, you'll remain impressed Code in first comment 👇

closed for a small scratch, been coding all day (screaming at claude and watching pinescript manuals) and managed to actually cook up something that works quite well (im tried boss) pic attached sharpe around high 3's, ltf its 2.6 average i think, but it'll be private fyi

＼AIで検証はできるのか？📝／ codexとcursorでの通貨トレードのバックテストは両者とも実践で使えそうなレベルになってきた🔥 TradingViewではPineScriptで構成しなきゃいけなくてPython→pineコードの正確な変換が難易度が高い💦 そのままTradingViewのチャートをダウンロードしてみてるけど1時間足だとロウソク足の数が制限で10年分ダウンロードできない問題がある… 悩ましい。。。 でも、研究結果はかなり良さそうだから地道に頑張ろう🐢✨✨ 投資家Fより💌

#BuildInPublic #StockTrading #AlgoTrading #NSE #TradingView #AIInvesting #FinTech #QuantFinance #PineScript #TradingView #Python

🚀 Mañana integraré mi IA en mis directos y compartiré GRATIS mi modelo basado en Qwen 7, personalizado y entrenado para ayudar a crear indicadores de TradingView inspirados en la metodología de PunkAlgo AI. ✅ Generación de indicadores Pine Script ✅ Optimización de estrategias ✅ Smart Money Concepts (SMC) ✅ Fair Value Gaps (FVG) ✅ Order Blocks ✅ Automatización de ideas de trading Quiero que cualquier trader o desarrollador pueda construir sus propios indicadores de forma más rápida y eficiente. Únete a nuestra comunidad: punkchainer.ai #PunkAlgoAI #Qwen7 #TradingView #PineScript #AITrading #SmartMoney #AlgoTrading #TradingBot #CryptoTrading #smartmoney

Hast recht, hab da gar nicht dran gedacht. Muss das noch aus dem pinescript entfernen. Fokus liegt aktuell auf @TrueBiasDE

You should allow adding custom PineScript indicators in a backtesting session @TradeZella @UmarAshraf

Wenn das fertig ist wird der Workflow perfekt: TV Pinescript erkennt Muster - sendet an TG Bot - ich copypaste in Portfolio Manager - er berechnet Lotsize und warnt bei Korrelation - kopieren in MT5 - Trade starten. Moneyprinter goes Brrrr 💵🐴

A Japanese streamer recorded a 22 minute follow up to her TradingView scanner tutorial. White t shirt. Shure mic. Yellow grid background. She held her iPhone to the camera and walked the chat through her new Telegram bot. TV Claude Bot. Premarket Gappers PREVIEW. Test fire 2026-05-15. Catalyst enrichment fix verified. Production will look like this Monday 8:30am ET. She read the list in slow careful English. SEDG up 21.89. Jefferies analyst upgrade from Underperform to Hold. FIG up 15.27. Beat Q1 2026 earnings. MICC up 10.89. Magnum spinoff. ENPH up 10.12. TEAM up 9.83. AXTI up 8.96. FUN up 8.93. HUBS up 8.48. PATH up 8.12. VG up 7.96. While the West argues about whether retail traders should use AI, Tokyo records a tutorial showing them exactly how the wiring works. She was teaching them how to build it. She just left the wrong tabs open in the cut. Pause at 11:42. Ignore the Telegram bot on the phone. Ignore the catalyst lines next to each ticker. Look at the next cut. The Claude Code window. The branch is still claude-tv-demo on main. The diff counter has moved. Plus 1,447 minus 0. Then plus 1,624 minus 0. ColdMath. $487,612 profit. 23,940 entries. Joined September 2025. Bio: Edge Compounds. The file list in the diff was the actual workload. scripts/run_premarket_gappers.sh. scripts/tjl_scanner_auto.py. scripts/run_tjl_scanner.sh. scripts/_gen_plists.py. Two macOS LaunchAgents plists at ~/Library/LaunchAgents. 60 calendar entries on one. 50 on the other. A tutorial does not register itself with launchd. A tutorial does not write 110 cron entries into the operating system. The plists were a production schedule. One position every fifteen minutes during the cash session. The bash wrapper fired the Python scanner. The Python scanner wrote timestamped JSON to ~/Library/Application Support/claude-tv-demo. The JSON shipped to a private Telegram. Comments turned into a detective board. Someone slowed the cut to 0.25x. Someone else read the output path off the diff at 14:08. A third commenter overlaid the catalyst list against the Polymarket weekly equity markets and found every name on the Telegram preview was a closed position by Wednesday close. The catalyst column was not a forecast. The Jefferies upgrade on SEDG had posted at 6:14am ET. She read it on stream at 11:02am. The bot was not predicting catalysts. The bot was scraping Benzinga the second the wire posted and routing the name through the Python scanner before the public premarket feed redistributed it. Then the last cut. The Strategy Report. Demo TJL Strategy. March 2 through May 15. Total P&L plus 1,211 dollars. Max drawdown 7.25 percent. Total trades 14. Profitable 9 of 14. Fourteen trades in ten weeks. That is the demo. The plist on her machine fires every fifteen minutes for sixty calendar entries. Forty fires a day across two scanners. Eight hundred fires in ten weeks. Eight hundred is not fourteen. The Strategy Report on screen was the conservative slice. The wallet was the full fire. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. Her repo had been one of them. She had named the fork claude-tv-demo the week she launched the channel. The plist scheduler was added two weeks before the first episode aired. The Telegram bot was not a tool she was building for the audience. The Telegram bot was the alert channel she had been running for six months. The phone she held up to the camera was the demo phone. The production phone was on the desk to her right, screen down, vibrating every fifteen minutes. The Demo TJL Strategy on TradingView was not her strategy. The Demo TJL Strategy was the Pine Script version of one slice of the scanner. The Python scanner was running on a Trend Join Breakout v3 model with regime filter on SPY and QQQ, 1H bars, and a fifteen minute entry window. The PineScript publish button on the screen had never been clicked. The TradingView AI Chart Copilot tab open in the corner of frame 5 was the second alibi. The AI Copilot beta launched April 2. The Python repo had been live since September. The Copilot was the public reason she could justify the workflow on stream. The repo was the actual reason. The follow up tutorial is at 487,000 views. The freeze frame of the LaunchAgents plist count hit 4.8 million on the repost. The wallet is still compounding. The plists are still firing every fifteen minutes. The Telegram bot is still shipping JSON. The Strategy Report still shows fourteen trades. She showed the audience a 12 percent backtest. The agent on her machine had compounded forty times that in the same window. The demo number was the only one she let the audience see.

share the pinescript

A Japanese streamer recorded a 14 minute YouTube tutorial on how to wire TradingView into Claude for stock scanning. White t shirt. Shure mic. Yellow grid background. She walked the camera through Scanner B in slow careful English.Top Gappers List. NVDA up 6.21. AMD up 4.73. PLTR up 3.89. GME up 2.91. She drew a red arrow from the list to the TradingView logo. Then to the Claude logo. Then down to a candlestick chart with ENTRY, TARGET, and STOP lines.She read the scanner criteria off the screen one by one. Strategy runs after 10 am ET. Price greater than yesterday's daily high. Yesterday's close greater than 200 day SMA. Price greater than today's premarket high. Price greater than today's HOD.While the West films panels on whether AI can trade, Tokyo records a Sunday afternoon tutorial that hands the wiring to a teenager with a free TradingView account. She was supposed to be teaching the basics. She just left the wrong tab open.Pause at 8:47. Ignore the candlestick chart on the left. Ignore the Strategy Report below it showing Trade 14 closing at 470 dollars on Micron. Look at the next cut. The Claude Code panel.ColdMath. $342,890 profit. 18,204 entries. Joined September 2025. Bio: Edge Compounds.The branch name in the header was claude-tv-demo on main. The diff counter read plus 748 minus 0. The model selector in the bottom bar read Opus 4.7 1M context, Extra high. Her prompt asked Claude to switch the strategy from PineScript to Python and expand the backtest to all thirty stocks on her watch list.A tutorial branch does not have 748 added lines and zero deletions. A tutorial branch has fifty lines and three deletions. The diff was a production rebase. She was not writing the strategy in front of the camera. She was importing it.Comments turned into a detective board. Someone slowed the cut to 0.25x. Someone else read the branch name on the second monitor frame. A third commenter pulled the wallet handle from the reflection on the microphone foam during the close up at 11:22.The five criteria she read aloud were the public scanner. They were the gap up filter every retail trader on YouTube uses. They were not what was running in the Python repo. The Python repo was running a different model. The model entered before the gap printed. The model exited before the close confirmed.She was not running price greater than yesterday's high. She was running the order book depth on the Nasdaq SIP feed three hundred milliseconds before the daily high updated. The public criteria were the alibi. The Python branch was the engine.Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The streamer's repo had been one of them. She had renamed it claude-tv-demo the week she launched the channel.The yellow grid background was not aesthetic. The yellow grid background was the only color scheme that masked the green and red of the diff counter when the camera caught the second monitor in passing. She had picked it after the third take of episode one.The Shure SM7B in front of her mouth was not for voice clarity. The SM7B has a tight cardioid pattern. It blocks the soft click of the second keyboard her left hand was using off camera the entire shoot.The tutorial channel sits at 312,000 subscribers. The freeze frame of the Claude Code panel hit 5.1 million on the repost. The wallet is still compounding. The agent is still reading the SIP feed. The Python branch is still on main. The PineScript demo is still pinned to the channel.She taught the chat how to build a scanner. The scanner she was teaching them is the one she was already trading against.

Paylaştığım tüm #tarama #pinescript kodlarını buradan indirebilirsiniz...👇 drive.google.com/drive/folde…

🌊 Complete Elliott Wave [MarketFragments] — now on TradingView. Most EW scripts are bottom-up zigzag counters that force a count one swing at a time. This is a full top-down, all-degree engine — and the wave math was verified in Python before the Pine port. • All degrees: 1-5 / A-B-C recursed into every leg (i-v → (i)-(v) → [i]-[v]) • Auto-window frames the dominant swing for you • 8-rule confidence panel separate Fibonacci-fit score • Forward PRZ projection for the next expected turn • Inline trade-suggestion panel — setup, bias, entry/stop, targets, R:R — great for learning the setups • Non-repainting closed history Labels-only research tool, not a signal. 👉 tradingview.com/script/hsvYG… marketfragments.com $ES $SPY #ElliottWave #PineScript #TradingView

Gran Mago! cuidado con los pinescript, si has montado el código con IA y si tiene complejidad, es muy fácil que contenga errores que te distorsionen el backtesting. cuidado también con sobre optimizar el pasado! El futuro es impredecble! Ya pasé por aí! Se de lo que hablo!

Kral bot nerede o zaman, codexin içinde tradiengview pinescript gibi bir şey ki var

Fable 5 is very good at building pinescript indicators for @tradingview