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Showing content with the highest reputation on 05/26/2026 in Posts
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Forecasted values of tomorrow, for Metastock 20.
⭐ option trader and 2 others reacted to ⭐ Atomo12345 for a topic
Some explanations. Open Inner Window New. Plot: Prezzo massimo probabile (0.95) Prezzo minimo probabile (0.95) Prezzo massimo previsto Prezzo minimo previsto HCL These bands forecast the prices or the values of tomorrow with the log normal distribution. Please translate the Italian in English and set your favorite colors.3 points -
Introducing BARFI
⭐ RichardGere and one other reacted to ⭐ ajeet for a topic
Introducing BARFI: My Fully Automated, Multimodal AI Trading System for XAUUSD (Qwen 2.5/3 + Gemini 3.1 + NT8/MT5) Hey everyone, I wanted to share a project I've been building and backtesting over the last few months. It's now fully automated from market analysis to trade execution. I call it BARFI (Bullion Analytics Research & Forecasting Intelligence). The core goal of BARFI is to solve a massive problem in algorithmic trading: combining raw data (OHLCV) with visual context (Footprint/Order Flow charts) to understand market regimes. Here is exactly how the architecture works, from ingestion to execution. 1. The Data Foundation & Local FineTuning Before automating live data, I built a heavy training dataset to teach a local Small Language Model (SLM) what specific market regimes look like: The Dataset: 1,000+ intraday 5-minute order flow footprint charts and over 1 million rows of historical OHLCV data in CSV format. The Local Brain: I used this data to train/finetune an open source Qwen 2.5 model. Its sole job is pattern matching n recognizing current market regimes by matching live setups against my historical database. 2. The Hourly Ingestion Pipeline Every hour, on the hour, a dual platform bridge triggers: NinjaTrader 8 (NT8): Automatically takes and saves a screenshot of the live 5-minute footprint/order flow chart. MetaTrader 5 (MT5): Automatically exports the last 500 rows of 5min OHLCV data. 3. Layer 1: Local Screening (The SLM) Instead of throwing raw data blindly at an expensive cloud API, BARFI uses the local finetuned Qwen 2.5 model first. The local SLM ingests the new hourly data. It scans the historical database to find the 5 most mathematically and visually matched historical scenarios. It compiles these 5 scenarios into an initial structured analysis report. 4. Layer 2: Deep Reasoning (Qwen 3-Max-Thinking) Once the local report is ready, BARFI calls the Qwen 3-Max-Thinking API. This layer handles the heavy cognitive lifting. Inputs sent: The live 5-minute footprint screenshot + the 500 rows of OHLCV data + the local SLM’s 5 scenario matching report. The Output: Qwen 3-Max conducts an in-depth reasoning analysis, predicts the trend for the upcoming 1 hour, and establishes exact, decisive price levels (Support, Resistance, Invalidation). 5. Layer 3: Agentic Execution & Management (Gemini 3.1 Flash Lite) Once Qwen 3-Max outputs the trend and levels, an agentic AI workflow takes over utilizing Gemini 3.1 Flash Lite for fast, low-latency execution: Broadcast: It formats the trend and levels and instantly sends a broadcast to a private Telegram channel via API. Execution: It parses the decisive levels, calculates risk management metrics (position sizing, risk/reward ratio), and triggers a live trade directly into MT5. Trade Management: Gemini doesn't just "fire and forget." The agent stays active, watching the trade in real-time on MT5 until either the Target Profit or Stop Loss is met. Why This Hybrid Approach Works What I love most about this setup is the efficiency vs. capability balance. Running everything through a massive thinking model every hour is slow and expensive. By utilizing a highly specialized, locally trained model to do the initial "heavy lifting" filter, the cloud model only has to reason across highly curated, relevant data. So far, the multimodal approach (giving the AI both the visual footprint chart and the hard numbers of the OHLCV) has vastly outperformed my old numbers, only models, especially on XAUUSD where volume profile and order flow shifts dictate the intraday trend. Would love to hear your thoughts on this multi model architecture!2 points -
https://workupload.com/file/shbp8teS4A22 points
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https://mega.nz/file/6VZ2ABya#odRNlVTcOuBcGUrNMUZvKoqd5Qx0pcuBD5H2XAknyv8 24 May 2026 Terra update2 points
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RenkoKing_Zephyrus
st4nd4rt reacted to Ninja_On_The_Roof for a topic
Here's the file. https://workupload.com/file/s4TqdcGc23X1 point -
1 point
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Hi All, Can I get somebody to repost the download for Ninza Zephyrus Force. Thanks1 point
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advancedsoftwarefeatures.com
⭐ goldeneagle1 reacted to fxtrader99 for a topic
I guess this is the one from @apmoo Have fun! https://workupload.com/file/A8kJ5QERdVV1 point -
fixed : DeepStack!Confluence
⭐ goldeneagle1 reacted to kimsam for a topic
https://workupload.com/file/DnZdgSURFnx1 point -
livewireindicators.com
⭐ goldeneagle1 reacted to AlabamaTrader for a topic
https://workupload.com/file/94vydfXQqeq It works perfectly thanks to the masters on this site.1 point -
1 point
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fixed : VolumeAi
⭐ goldeneagle1 reacted to kimsam for a topic
https://workupload.com/file/a4CzuZD4swd1 point -
1 point
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New Horizons ATS
⭐ goldeneagle1 reacted to Bene for a topic
https://workupload.com/file/65gYSK6JjNn Here you have it, It works with the ninza resources Eva provided here1 point -
Coming soon... "KimSam Ai trading system on ninjatrader " https://ibb.co/0yv6s97K1 point
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Thanks for sharing: https://workupload.com/file/K2RTGDssXhK1 point
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https://ibb.co/4Z42kmhM1 point
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https://ibb.co/zhj91ywp1 point
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quantvue.io
st4nd4rt reacted to FalconFactory for a topic
Smooth Original Qzeus NQ 5min.xmlZeus 10Min CL.xmlZeus 5Min GC.xmlZeus 1Min NQ.xmlQZeus 1.2 - Default ATS.xmlQZeus - MNQ - Shinobi.xmlThese are the default templates they provide. Hope that helps.1 point