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ES Futures: Breakout or Fakeout? Trade Plan Inside --- 🔥 **ES Futures Setup (2025-09-20)** 🔥 📊 **Market View:** Leaning **BULLISH** (short/medium-term) ✅ – MA stacking + MACD support longs – BUT: low volume + RSI \~70 + Stoch \~78 = risk of fake breakout ⚠️ 🎯 **Trade Plan (Market Open):** * Direction: **LONG** * Entry: **6658.77** * Stop: **6574.64** (-84 pts / \$4,207 risk) * Targets: • T1: 6742.91 (+84 pts / \$4,207) • T2: 6784.98 (+126 pts / \$6,310) • T3: 6826.99 (+168 pts / \$8,413) 📏 **Size:** 1 contract (risk \~4.2% on \$100k acct — scale responsibly) 💪 **Confidence:** 60% ⏰ **Timing:** Market Open ⚠️ **Risks:** – Low volume (\~0.31x norm) – Overbought oscillators – Tech weakness could drag index ✅ **Rationale:** Trend + MA stack favors longs. Use 1.5 ATR stop. Lock gains at T1/T2, let runners push to 2R. --- 🚀 **ES LONG 6658.77 → TP 6826.99 | Stop 6574.64 | 60% Confidence** 🚀
CME_MINI:ES1!Long
by quantsignals
Explaining the Lower Timeframe Function and Its Role in Trading Introduction Candlesticks on higher timeframes summarize long periods of trading activity, but they hide the internal balance of buying and selling. A daily candle, for instance, may show only a strong close, while in reality buyers and sellers may have fought much more evenly. To uncover this hidden structure, Pine Script offers the requestUpAndDownVolume() function, which retrieves up-volume, down-volume, and delta from a chosen lower timeframe (LTF). Function in Practice By applying this function, traders can measure how much of a move was supported by genuine buying pressure and how much came from selling pressure. The function works across timeframes: when analyzing a daily chart, one can select a one-minute or one-second LTF to see how the volume was distributed within each daily bar . This approach reveals details that are invisible on the higher timeframe alone. Helper for Data Coverage Lower-timeframe data comes with strict limitations. A one-second chart may only cover a few hours of history, while a one-minute chart can stretch much further back. To make this limitation transparent, a helper was implemented in our code: it shows explicitly how far the available LTF data extends . Instead of assuming full coverage, the trader knows the exact portion of the higher bar that is represented. //══════════════ // Volume — Lower TF Up/Down //══════════════ int global_volume_period = input.int(20, minval=1, title="Global Volume Period", tooltip="Shared lookback for ALL volume calculations (e.g., averages/sums).", group=grpVolume) bool use_custom_tf_input = input.bool(true, "Use custom lower timeframe", tooltip="Override the automatically chosen lower timeframe for volume calculations.", group=grpVolume) string custom_tf_input = input.timeframe("1", "Lower timeframe", tooltip="Lower timeframe used for up/down volume calculations.", group=grpVolume) import TradingView/ta/10 as tvta resolve_lower_tf(bool useCustom, string customTF) => useCustom ? customTF : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" get_up_down_volume(string lowerTf) => = tvta.requestUpAndDownVolume(lowerTf) var float upVolume = na var float downVolume = na var float deltaVolume = na string lower_tf = resolve_lower_tf(use_custom_tf_input, custom_tf_input) = get_up_down_volume(lower_tf) upVolume := u_tmp downVolume := d_tmp deltaVolume := dl_tmp //──── LTF coverage counter — counts chart bars with valid Up/Down (non-na) 〔Hazel-lite〕 var int ltf_total_bars = 0 var int last_valid_bar_index = na // new: remember the bar_index of the last valid LTF bar if not na(deltaVolume) ltf_total_bars += 1 last_valid_bar_index := bar_index int ltf_safe_window = ltf_total_bars var label ltf_cov_label = na // label handle for the “coverage” marker Use in Strategy Development Because both the main function and the helper for data coverage have been implemented in our work, we use the Hazel-nut BB Volume strategy here as a practical example to illustrate the subject. This strategy serves only as a framework to show how lower-timeframe volume analysis affects higher-timeframe charts. In the following sections, several charts will be presented and briefly explained to demonstrate these effects in practice. In this example, the daily chart is used as the main timeframe, while a one-second lower timeframe (LTF) has been applied to examine the internal volume distribution. The helper clearly indicates that only 59 one-second bars are available for this daily candle. This is critical, because it shows the analysis is based on a partial window of intraday data rather than a full day. The up/down volume split reveals that buyers accounted for about 1.957 million units versus sellers with 1.874 million, producing a positive delta of roughly +83,727. In percentage terms, buyers held a slight edge (≈51%), while sellers were close behind (≈49%). This near balance demonstrates how the daily candle’s bullish appearance was built on only a modest dominance by buyers. By presenting both the margin values (e.g., upper band margin 13.61%) and the absolute money flow, the chart connects higher-timeframe Bollinger Band context with the micro-timeframe order flow. The annotation “Up/Down data valid starting here” reinforces the importance of the helper: it alerts the user that valid LTF volume coverage begins from a specific point, preventing misinterpretation of missing data. In short, this chart illustrates how choosing a very fine LTF (1 second) can reveal subtle buyer–seller dynamics, while at the same time highlighting the limitation of short data availability. It is a practical case of the principle described earlier—lower-timeframe insight enriches higher-timeframe context, but only within the boundary of available bars. Analysis with One-Minute LTF In this chart, the daily timeframe remains the base, but the lower timeframe (LTF) has been shifted to one minute. The helper indicates that data coverage extends across 353 daily bars, a much deeper historical window than in the one-second example. This means we can evaluate buyer/seller balance over nearly a full year of daily candles rather than just a short slice of history. The up/down split shows buyers at ≈2.019M and sellers at ≈1.812M, producing a positive delta of +206,223. Here, buyers hold about 52.7%, compared to sellers at 47.3%. This stronger bias toward buyers contrasts with the previous chart, where the one-second LTF produced only a slim delta of +83,727 and ratios closer to 51%/49%. Comparison with the One-Second LTF Chart Data coverage: 1s gave 59 daily bars of usable history; 1m extends that to 353 bars. Delta magnitude: 1s produced a modest delta (+83k), reflecting very fine-grained noise; 1m smooths those micro-fluctuations into a larger, clearer delta (+206k). Interpretation: The 1s chart highlighted short-term balance, almost evenly split. The 1m chart, backed by longer history, paints a more decisive picture of buyer strength. Key Takeaway This comparison underscores the trade-off: the lower the LTF, the higher the detail but the shorter the history; the higher the LTF, the broader the historical coverage but at the cost of microscopic precision. The helper function bridges this gap by making the coverage explicit, ensuring traders know exactly what their analysis is built on. Impact of TradingView Plan Levels Another factor shaping the use of this function is the user’s access to data. TradingView accounts differ in how much intraday history they provide and which intervals are unlocked. ◉ On the free plan, the smallest available interval is one minute, with a few months of intraday history. ◉ Paid plans unlock second-based charts, but even then, history is measured in hours or days, not months. ◉ Higher tiers extend the number of bars that can be loaded per chart, which becomes relevant when pulling large volumes of lower-timeframe data into higher-timeframe studies Conclusion With requestUpAndDownVolume(), it becomes possible to see how each symbol behaves internally across different timeframes. The helper function makes clear where the data stops, preventing misinterpretation. By applying this setup within strategies like Hazel-nut BB Volume, one can demonstrate how changing the lower timeframe directly alters the picture seen on higher charts. In this way, the function is not just a technical option but a bridge between detail and context.
AMEX:BTGEducation
by ata_sabanci
4
BTC/USDT | BTC Correction Done? Next Pump Loading…By analyzing the Bitcoin chart on the 4-hour timeframe, we can see that the price moved higher as expected, reaching around $118,000. After that, Bitcoin corrected down to the $115,000 demand zone. Once it touched this level, demand stepped in again and the price bounced back. Currently, Bitcoin is trading around $116,000. If the price holds above the $114,400–$115,000 support zone, we can expect the start of another bullish wave. Please support me with your likes and comments to motivate me to share more analysis with you and share your opinion about the possible trend of this chart with me ! Best Regards , Arman Shaban
Long
by ArmanShabanTrading
21
DOGEUSDT Market Report – From Correction to ExpansionDOGEUSDT has completed an impulsive upward cycle, followed by a controlled corrective structure. The earlier surge reflected aggressive positioning from buyers, while the subsequent retracement highlights the market’s need to neutralize inefficiencies and rebalance liquidity. Price action now reflects a shift from short-term exhaustion into consolidation, where both sides of the market are being tested. The recent structural breaks and measured pullbacks are evidence of liquidity engineering — a common precursor to directional continuation. The broader market context indicates that this phase is not a reversal but part of a higher-timeframe accumulation process. With order flow stabilizing and volatility compressing, DOGEUSDT is preparing for its next expansionary leg. If momentum sustains, the setup favors a bullish continuation cycle in the coming sessions.
Long
by XAU_EMPIRE
Ethereum Elliott Wave Buy Setup: Targets 4550 and 4600Ethereum Daily Update (Elliott Wave Setup) Based on my daily monitoring of Ethereum and according to the Elliott Wave count (which I’ll share shortly with the full analysis), I see a long opportunity forming. Here’s my personal trade plan: ✅ Entry 1: Buy from current price 4450 / 4445 ✅ Entry 2: If price dips, add another buy at 4400 🎯 Target 1: 4550 🎯 Target 2: 4600 Stop-loss: For both entries, a daily close below 4350 Please note: This is not financial advice – I’m only sharing my personal trades. Always do your own research before taking action. 👍 Don’t forget to like if you found this useful, and feel free to follow me for more analysis of this kind. Best of luck 🌹
BITSTAMP:ETHUSDLong
by Crypto-Treasure
4
Bitcoin(BTC/USD) Daily Chart Analysis For Week of Sep 19, 2025Technical Analysis and Outlook: In the previous trading session, the Bitcoin market exhibited a modest increase and completed Inner Coin Rally 117700. Consequently, the cryptocurrency is currently experiencing a resumption of the intermediate Primary Down-Trend rebound, with the primary target identified as Mean Support at 114500. Additional support levels are defined at 111500 and 108300, respectively. Current analysis suggests a slight probability that the Intermediate Primary Rebound could facilitate a retest of the Outer Coin Rally at 124500, via the Key Resistance established at 123500. However, it is critical to acknowledge that the prevailing Bitcoin market sentiment reflects a continuing downtrend. Whereas upon the conclusion of the Primary Down-Trend, the Outer Coin Dip at 102500, it is anticipated that Bitcoin will resume its upward trend.
BITSTAMP:BTCUSD
by TradeSelecter
USDT Dominance (USDT.D) Analysis📊 Currently, USDT dominance has reacted negatively after testing the 4.33% – 4.35% resistance zone along with the descending trendline. This area is acting as a supply zone, strengthening the probability of further downside. 🔻 If the resistance holds, we expect USDT.D to enter a bearish leg, first targeting the 4.25% level, and then potentially extending toward the key support zone at 4.20% – 4.21%. ⚡ Alternative Scenario: If a strong candle closes above 4.35%, further upside toward the 4.45% region could be seen. However, as long as price remains below resistance, the bearish outlook remains more likely. 📌 Summary: • Key Resistance: 4.33% – 4.35% • Main Supports: 4.25% and 4.20% • Primary Scenario: Continuation to the downside toward 4.20% if resistance holds
CRYPTOCAP:USDT.DShort
by CryptoPilot
BTC Trade Idea: Short from 117,850 at previous resistance level Bitcoin is currently at a previous resistance level 117,500 where the price has bounced down before. Personally, I will enter a short trade from the current price with a tight stop-loss. ✅ My Personal Strategy: Entry: Sell from current price 117,850 🎯 Target 1: 116,000 🎯 Target 2: 115,500 Stop Lose : Daily close above the resistance level 117,500 Please note: This is not financial advice – I’m only sharing my personal trades. Always do your own research before taking action. 👍 Don’t forget to like if you found this useful, and feel free to follow me for more analysis of this kind. Best of luck 🌹
Short
by Crypto-Treasure
WHAT GOES UP, MUST COME DOWN – $DOT DUMP TIME?In my last analysis we nailed the move: CRYPTOCAP:DOT pumped to sweep the weak 14 Aug high exactly as projected. ✅ That mission is complete – now it’s time for the other side of the trade. Analysis 14 Aug high swept → equilibrium reached. Price in HTF Golden Pocket + strong Fib cluster. Bearish harmonic + hidden bear div on CVD. Orderflow: longs piling in, OI ↑ but price stuck → squeeze risk. Likely SFP around $4.65 (take out Sept 13 high) → then dump. First target: $3.75.
Short
by ThetaNomad
10