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BFF07X2025 trade ideas

Reviewed several markets10 7 2025 this is actually still on the 6th I will turn to the 7th and a half hour or so. I looked at several markets including Lumbar... And oil which I don't particularly like right now. I took a quick look at silver which didn't really move since early this morning. in many ways this is an atypical market in that it is stretching out expanding higher and really should be finding some corrections and moving lower at this point but it's not doing that and it makes it very tough especially for people like me who really don't like to be a breakout trader looking to go higher when the market's so overbought.... I'm having tremendous problems with the software I'm sure my old age is part of the problem but I just don't understand what the solutions are. I have reached out to get help from TradingView but they don't really offer that kind of service or I would pay for it... There's a service I use for years before I went to TradingView and I don't want to mention it here but I know they can produce the patterns you're looking for but you have to pay a price which is not really that hard to do with their software and there are people who will set it up for you.... I'd rather not do that but but it might be an option. A lot of these tools you can almost see without too much drawing once you get familiar with them but trying to find these tools while I'm doing a video and it takes me half an hour to find the tools to show people what I'm looking at is is really wasting a lot of time for me. Does anyone know if there are programmers that work TradingView that set up patterns that I'm for?
CME:BTC1!
by ScottBogatin
A simple Introduction to Footprint charts Welcome to this educational video on footprint charts . I decided to do this introduction because I feel it would benefit so many traders who are unfamiliar with this chart type and once understood it can serve as a very powerful additional confluence in your day to day trading . I hope I have delivered this lesson in a simple and understandable format for you too understand the following . The problem with just watching the price What is order flow Delta explained What is open interest How to tie it all together to produce better entries , exists and oversight into knowing when to take your trades. I welcome any feedback or questions and I really hope that this serves you well. *The link to the Tradingview guide is in the designated box on the right hand side I encourage everybody to use this resource .
CME:MBT1!Education
by SJTRADESFUTURES
Bitcoin (BTC CME Futures) – Gap at $109K–$111K Draws AttentionBitcoin’s CME futures chart has revealed a gap between $109,000 and $111,000, a zone that historically carries a high likelihood of being filled. Timing, however, remains uncertain. CME futures gaps are a widely recognized phenomenon in Bitcoin trading. These gaps often - act as magnets for price action, though they may be filled immediately or remain open for extended periods depending on broader market structure. Key Technical Points: -CME futures gap exists between $109K and $111K. - Lower timeframe support levels will determine probability of early fill. - Potential runaway gap scenario if long-term bullish trend persists. The presence of a $109K–$111K gap on BTC’s CME futures chart has sparked discussions among traders. Historically, such gaps tend to fill, but the pathway is not always straightforward. If key lower timeframe supports break, the probability of a swift retracement to fill the gap increases. Conversely, if price holds its current bullish structure, this could evolve into a runaway gap, where the market continues higher and revisits the gap much later. This dynamic requires traders to remain flexible, balancing short-term gap probabilities against the broader high-timeframe trend, which remains bullish. What to Expect in the Coming Price Action: If near-term supports fail, Bitcoin could quickly rotate into the $109K–$111K gap zone. If supports hold, expect the gap to remain open as a runaway gap, potentially being filled only after significant future retracement.
CME:BTC1!Long
by The_Alchemist_Trader_
Why its bullishGrayscale's GBTC outflows, often perceived as selling, are actually bullish for Bitcoin's market cycle. These outflows reflect investors redeeming shares from a high-fee trust (GBTC) and rotating into lower-cost ETFs like BlackRock's IBIT, which has absorbed massive inflows (e.g., ~$900M on October 8, 2025). This shift represents smart money reallocating capital efficiently, not abandoning Bitcoin. Meanwhile, strong institutional buying—BlackRock holding 770K BTC and whales accumulating at dips—signals confidence in future price appreciation. Historically, such rotations have preceded rallies, as seen post-ETF launch in 2024 when Bitcoin surged ~150%. This dynamic suggests a healthy market, not a top, with capital flowing to stronger hands.
CME:BTC1!Long
by SnyperTA
Risk Management 2.0: Moving Beyond Basic Stop Losses1. Introduction If you ask most new traders how they manage risk, the answer is usually: “ I use a stop loss. ” That’s a good start, but it’s far from enough. Surviving in the markets is not about setting a stop and hoping for the best. It’s about knowing exactly how much you risk per trade, how your account survives losing streaks, and how you protect profits when the market moves in your favor. Smart traders don’t aim for the biggest win. They aim to survive long enough for their edge to play out. 2. Why Fixed Lot Sizes Break Consistency The simplest mistake in risk management is trading the same lot size on every trade, no matter the stop loss distance. Here’s why this is flawed: A trade with a wide stop risks far more money than intended. A trade with a tight stop risks very little, but also reduces profit potential. Over time, results become inconsistent. One loss can wipe out several wins. Example: On a $10,000 account, a fixed lot might risk $500 on one trade and only $100 on another. Without realizing it, the trader’s statistics no longer add up. Consistency comes from controlling risk per trade, not per lot size. 3. Position Sizing Models for Professionals To fix this, professionals adjust their trade size based on account risk and stop loss distance. Three proven models are: Percent Risk Model (most common) Risk 1–2% of account equity per trade. Position size changes depending on stop distance. Ensures every trade risks the same portion of capital. Volatility-Adjusted Model Uses ATR (Average True Range) or market volatility to size positions. High volatility = smaller positions. Low volatility = larger positions. Kelly Criterion (advanced) A formula that calculates optimal bet size based on win rate and reward/risk. Often used at “half-Kelly” for practical application. Useful for advanced traders but aggressive for beginners. All three models serve the same purpose: normalize risk so one trade can’t destroy the account. 4. Trade Management: Beyond Entry Risk Sizing risk correctly is step one. Step two is managing risk dynamically once a trade is open. Taking Partial Profits Scale out of part of your position at predefined levels (e.g., 50% at 1R). Locks in gains and reduces stress, while keeping a runner for bigger moves. Moving Stop Loss to Breakeven After price moves in your favor (say +1R), shift your stop to entry. Guarantees no loss on the remainder. Avoid moving it too early or you’ll get shaken out. Trailing Stops Manually trail below swing lows/highs, or use ATR-based trailing stops. Purpose: protect profits while letting the trend run. 5.Practical Rules for Risk 2.0 Here’s a simple framework you can apply today: Decide your risk per trade (1–2%). Always calculate position size based on stop loss distance. Journal each trade with risk taken and whether rules were followed. Apply a daily/weekly loss cap. Use partials, breakeven stops, and trailing stops to secure profits. When followed consistently, these rules transform risk management from theory into practice.
B
by HyroTrader
5
My Bitcoin Analysis: A CME Gap-Filling ScenarioBased on the chart I’ve created, my technical analysis for Bitcoin suggests a high probability of the price eventually moving down to fill the outstanding CME futures gap. This specific gap is identified in the range of $92,000 to $93,235. From a technical perspective, CME gaps frequently act as a powerful magnet for price action. As shown in my chart, I anticipate the price will consolidate and oscillate for a period before a final, decisive move to the downside to complete the gap. Once this structural inefficiency is resolved by filling the gap, the chart indicates a potential catalyst for a new and significant bullish rally. This upward trend is projected to commence after the gap is filled and could extend well into late 2025 and 2026. This scenario aligns with the historical tendency of these gaps to eventually be revisited and filled before a new, sustainable trend can begin.
CME:BTC1!Short
by Aboozartradeer
2
Bitcoin Blow-Off TopBitcoin is showing signs of exhaustion after a strong rally into the $120k region. On the weekly timeframe, several signals point toward a potential corrective leg lower: 📊 Key Technicals Major Supply Zone: $115k–$120k area has acted as resistance, with sellers defending this level. Trend Structure: Price has broken momentum after the blow-off move and is now trading below recent highs. EMA Support: Price is extended above the EMA 60 (94k), leaving room for mean reversion. COT Data: Commercials are heavily net short with a COT Index blow-off signal, indicating distribution from strong hands to weak hands. 🎯 Trade Thesis The risk-reward favors the short side from current levels. Initial downside target sits at the $95k region (prior resistance turned support + EMA alignment). A break of that level could open the door toward the $80k handle in the medium term. 📌 Plan Entry: 114k–116k Stop: Above 120k Targets: TP1: 95k TP2: 80k 💡 This setup combines market structure, supply zone rejection, and institutional positioning via COT. The technical picture suggests Bitcoin is vulnerable to a deeper pullback before any further sustainable rally.
CME:BTC1!Short
by AlphaTurtle