free source code: pastes.io/otubwtMD

Just published a new TradingView indicator: ADR Alpha It’s basically a visualization tool for ADR, showing how much of the move is already done and how much room is left. • Uses a selectable timeframe • Projects ADR-based expansion • Shows remaining % room • Marks exhaustion clearly Helps you avoid trading late moves. As always, for free... tradingview.com/script/6Gpvb…

Just finished "Cracking the Money Code" by Larry Williams. some fun stuff

just probabilities, eh? 🎲📈

The guy in the comments is right lol. If you flip a coin for trade direction and aim for 3R profit risking 1R you will have ~25% win rate. I don't blame stoic here since he only knows how to count till 5 (or 6 not sure)😇

Seeing a bunch of similar analyses drop just after my post. must be something in the air! Loving the shared energy 😂

I see so many renamed "paid models" where you count to 5 and suddenly you're profitable. Even the free ones doing the same thing. Why rename it? It's just Market Structure. That's it. They rebrand it to make it sound attractive to new traders who don't know any better. Just learn: Market Structure (There are so many sources which explains it wrong , you can check photon youtube video for correct Market Structure) Fibonacci retracements Premium/Discount zones WHY these concepts work (most importantly) Understand the logic behind price action. Not the fancy labels someone slapped on it. "4/5/6 swing model" , "SBS", "Shithole Model" Same concepts. Different packaging. Learn the fundamentals. Master the execution. Keep your money. Stop paying for rebranded market structure just because someone gave it a catchy name.

This is exactly why most traders lose money - they don't understand the indicators they're using. RSI uses the last 14 weekly close prices to calculate the ratio of average gains to average losses. Context is EVERYTHING. COVID CRASH - Last 14 weeks before RSI low (March 9, 2020): → Started at $7,118 → rallied to $10,151 ( 42.6%) → crashed to $5,361 → 6 up weeks averaging 6.70% gains → 7 down weeks averaging -8.35% losses → The massive bullish run before the crash inflated the "average gain" component → RSI: 33.33 CURRENT - Last 14 weeks (Feb 2, 2026): → Started at $104,722 → consistently grinding down to $76,130 (-27.3%) → 5 up weeks averaging only 2.33% gains → 8 down weeks averaging -5.18% losses → No bullish run to inflate RSI - just relentless weekly bleeding → RSI: 31.95 The RSI is lower now DESPITE a smaller percentage drop because: 1. COVID had a strong rally mixed in (Dec-Feb) that boosted average gains 2. Current decline is pure consistent downward pressure with weak bounces 3. The "average gain" in the RSI formula is drastically lower now You're comparing a crash after a rally to a pure relentless grind. Completely different price structures = incomparable RSI readings. Learn the actual math behind your indicators before making brain-dead comparisons. This is how people blow up accounts thinking "low RSI = automatic bounce." Stop trading numbers. Start understanding what they actually measure.

Just published my new indicator: Relative Equal Highs/Lows (REHs/RELs). This script identifies engineered liquidity structures. These are flat price sequences that often act as magnets for price. It uses standard chart OHLC to ensure accuracy across all chart types and features a unique "Wait & Validate" mechanism to filter out immediate noise. A note for developers: I intentionally designed the threshold as a manual input. I personally do not like automatic thresholds as they can be inconsistent. Since the code is open source, you are welcome to modify it and implement your own ATR or percentage-based logic if you prefer dynamic settings. Get the script here: tradingview.com/script/oRJbv…

Happy new year

Statistical Observation: Nasdaq(NQ1!) Hourly Range Mean Reversion I analyzed NQ1! historical price action to measure the probability of price returning to the mid-level of a specific hourly range after a break (sweep) occurs. Methodology : The study defines a "valid return" as price touching the 50% level of the previous hour's range within a 3-hour window immediately following that hour. The Outlier 07:00 - 08:00 Range :The data shows a significant statistical anomaly during the 07:00-08:00 window. Probabilities (Return within 08:00-11:00) : High Sweep Reversion: 83.2% Low Sweep Reversion: 82.7% Average Probability: ~83% It is an interesting anomaly. You should check this on your own charts to see how price behaves during this specific window. #DataAnalytics #Quant #NQ #Futures #NQStats

TradingView removed the original indicator, but I'm bringing it back... OPEN SOURCE! 🔓🔥 Since we are starting from zero again, I really need your help! Please Boost 🔁 and Like ❤️ the script to help get it back on the Top Authors list! 👇 Link below: tradingview.com/script/m2Z0v…