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Major Global Stock Exchanges1. Understanding Stock Exchanges A stock exchange is an organized marketplace where securities—like stocks, bonds, and derivatives—are issued and traded. It provides liquidity to investors, transparency in pricing, and regulatory oversight to ensure fair practices. Each major exchange operates under a national financial authority but impacts global markets through interconnected trading systems and investor participation. Stock exchanges help channel savings into productive investments and play a crucial role in economic development by enabling companies to raise capital for growth. The performance of major exchanges often mirrors the strength or weakness of their respective economies. 2. The New York Stock Exchange (NYSE) The New York Stock Exchange, located on Wall Street, is the largest and most prestigious stock exchange in the world by market capitalization. Established in 1792 under the Buttonwood Agreement, the NYSE has been a symbol of American capitalism and financial power for more than two centuries. Market Capitalization: Over $25 trillion (as of 2025). Listed Companies: Around 2,400 from diverse sectors. Index: The Dow Jones Industrial Average (DJIA) and the S&P 500 track major NYSE-listed stocks. The NYSE operates under the Intercontinental Exchange (ICE) and uses both an electronic trading system and a physical trading floor. Its hybrid model ensures transparency, liquidity, and efficient execution of trades. Companies like Apple, Microsoft, Coca-Cola, and Johnson & Johnson are part of its listings. The NYSE’s stability, regulatory standards, and investor confidence make it a global benchmark for equity trading and corporate governance. 3. NASDAQ (National Association of Securities Dealers Automated Quotations) The NASDAQ is the second-largest stock exchange globally, established in 1971 as the world’s first electronic stock market. Unlike the NYSE, NASDAQ has no physical trading floor—it operates entirely electronically. Market Capitalization: Around $22 trillion. Focus: Technology-driven companies. Major Index: NASDAQ Composite Index and NASDAQ-100. NASDAQ is home to global technology giants such as Apple, Amazon, Google (Alphabet), Meta (Facebook), and Tesla. It revolutionized trading by introducing automation and electronic order matching, which reduced transaction costs and improved efficiency. Its success represents the digital transformation of global finance. The NASDAQ’s role in nurturing high-growth tech companies has made it synonymous with innovation and modern capitalism. 4. London Stock Exchange (LSE) The London Stock Exchange, one of the oldest exchanges, traces its roots to 1773. Located in the financial district of London, it is the primary market for securities in the United Kingdom and a vital global financial hub. Market Capitalization: About $4 trillion. Listed Companies: Over 1,900 from more than 60 countries. Main Index: FTSE 100 (Financial Times Stock Exchange 100 Index). The LSE operates under the London Stock Exchange Group (LSEG), which also owns other financial institutions like Refinitiv and Borsa Italiana. It plays a major role in global capital markets due to its international listings and strategic time zone, bridging Asian and American trading hours. The LSE’s reputation for transparency, international participation, and regulatory integrity makes it a cornerstone of global finance. 5. Tokyo Stock Exchange (TSE) The Tokyo Stock Exchange is Japan’s largest and Asia’s most influential exchange. Established in 1878, it is operated by the Japan Exchange Group (JPX). Market Capitalization: Around $6 trillion. Listed Companies: More than 3,700. Major Index: Nikkei 225 and TOPIX (Tokyo Price Index). The TSE has driven Japan’s post-war economic rise and continues to be a center for corporate excellence and technological innovation. Companies like Toyota, Sony, Honda, and SoftBank are major components of the exchange. Japan’s exchange is known for its efficiency, advanced technology, and global investor participation. Its performance reflects not only Japan’s economy but also broader Asian market trends. 6. Shanghai Stock Exchange (SSE) The Shanghai Stock Exchange, established in 1990, is one of the largest exchanges in the world and a crucial part of China’s rapidly expanding financial system. Market Capitalization: Over $7 trillion. Listed Companies: About 2,200. Main Indices: SSE Composite Index and SSE 50. The SSE is state-regulated and plays a vital role in China’s economic reforms and modernization. It lists large state-owned enterprises such as PetroChina, Industrial and Commercial Bank of China (ICBC), and China Mobile. While foreign investor access was limited in the past, recent policy reforms have opened Chinese markets to global investors through programs like Stock Connect with Hong Kong. The SSE’s growth signifies China’s transition into a global financial superpower. 7. Hong Kong Stock Exchange (HKEX) The Hong Kong Stock Exchange, founded in 1891, serves as a bridge between Mainland China and global investors. Market Capitalization: Around $5 trillion. Listed Companies: Over 2,500. Main Index: Hang Seng Index (HSI). HKEX has become one of the world’s leading fundraising platforms, particularly for Chinese companies seeking international exposure. It plays a strategic role by connecting Western capital with Asian corporations through its Stock Connect system with Shanghai and Shenzhen exchanges. Its global connectivity, regulatory stability, and location make HKEX a powerful player in the global financial landscape. 8. Euronext Euronext is a pan-European exchange, established in 2000 through the merger of exchanges in Amsterdam, Brussels, and Paris, later expanding to other European cities. Market Capitalization: Over $7 trillion. Listed Companies: Around 1,900. Main Index: Euronext 100 Index. Euronext operates in multiple countries, including France, the Netherlands, Belgium, Ireland, Portugal, and Norway. It provides a unified platform for European capital markets and promotes integration within the EU financial system. Its diversity and cross-border listings strengthen Europe’s position in the global economy. 9. Bombay Stock Exchange (BSE) and National Stock Exchange (NSE) India hosts two major exchanges: BSE and NSE. Bombay Stock Exchange (BSE): Established in 1875, it is Asia’s oldest stock exchange. National Stock Exchange (NSE): Founded in 1992, it introduced electronic trading in India. Market Capitalization: Combined over $5 trillion. Main Indices: BSE Sensex and NSE Nifty 50. These exchanges are key players in the emerging market landscape, attracting domestic and global investors. India’s robust regulatory framework under SEBI and its growing economy have made BSE and NSE vital centers for global investment. 10. The Role and Global Impact of Stock Exchanges Major global stock exchanges are interconnected through technology and investor participation. Events in one market—such as policy changes, interest rate adjustments, or geopolitical crises—can cause ripple effects across others. They influence foreign investment flows, exchange rates, and commodity prices. For instance, a market correction in the U.S. can affect investor sentiment in Europe and Asia. Similarly, innovations like cross-border listings, exchange-traded funds (ETFs), and derivative trading have deepened global financial integration. Conclusion The world’s major stock exchanges form the backbone of the international financial system. From the historical legacy of the NYSE and LSE to the technological dynamism of NASDAQ, TSE, and SSE, each plays a unique role in shaping global capital markets. They serve as economic indicators, facilitate investment, and foster innovation across industries. In an era of globalization, technological transformation, and cross-border finance, these exchanges are more connected than ever—driving not just national economies but also the financial pulse of the entire world.
CME_MINI:MES1!Education
by GlobalWolfStreet
Screener SystemThe Gabriel Quantitative Screener Series transforms the way traders approach technical and fundamental confluence. Each filter was designed not just to identify market opportunities but to model institutional behavior, where volume, efficiency, and volatility compression merge into repeatable, high-conviction setups. By mastering these tools, traders can adapt dynamically across multiple environments: From high-growth rotations and momentum squeezes to value recoveries and fundamental leadership trends. From swing trades that capture early rotations to short-term intra-day bursts driven by liquidity spikes. Each screener operates independently, but together they provide a panoramic framework of market rhythm and capital flow dynamics—helping you trade in harmony with institutional footprints rather than noise. ⚙️ 1. Gabriel’s TTM Squeeze—Volatility Compression and Momentum Ignition Credit to John Carter from Simpler Trading. Concept: The TTM Squeeze identifies moments when volatility contracts to its tightest levels, signaling a buildup of market energy before a potential breakout. Gabriel’s version refines this principle by combining EMA structure alignment, Stochastic crossovers, liquidity thresholds, and volatility gating to isolate high-probability expansion phases. Core Technical Framework: EMA (8), EMA (21), EMA (34), EMA (55), and EMA (89) create a layered exponential trend structure that reveals directional stacking. Bullish alignment: EMAs stacked upward (momentum acceleration). Bearish alignment: EMAs inverted (momentum exhaustion). Bollinger Bands (20) within Keltner Channels (20)—defines volatility compression and the "squeeze" zone. Stochastic (5,3,3), (8,3.3), (14,3,3)—ensures that it's ready and primed. ADR > 2% & ATR (14) ≥ 0.5—ensures range expansion potential. Volume ≥ 500K—confirms institutional-grade activity. Market Cap ≥ $2B—eliminates illiquid small caps. How It Works: Detects volatility contraction as BBs narrow inside KCs. Confirms directional alignment using multi-EMA structure and R.A.F. proxy. Screens for expansion-ready setups where energy release often follows compression. Ideal Use Case: Perfect for swing and intraday traders who capitalize on volatility transitions. Best applied before earnings or major news catalysts when institutional positioning drives breakout volatility. 🚦2. Gabriel’s TRW Squeeze—Trend Rotation Wave Screener Credit to Aayush Sharma from Stock Campus. Description: The Gabriel’s TRW Squeeze screener identifies trend rotation wave setups using volatility compression signals combined with multi-SMA alignment. It is designed to detect the moment when price, volatility, and structure synchronize—signaling a potential momentum release after a quiet consolidation phase. While Gabriel’s TTM Squeeze focuses on exponential momentum acceleration, the TRW Squeeze emphasizes smoothed trend strength, ideal for swing traders and portfolio rotations. Core Framework 🔹 Moving Average Structure SMA(9), SMA(21), SMA(50), SMA(200) define the multi-horizon trend. Alignment of these SMAs reveals institutional rotation and trend maturity. Bullish Bias: price above SMA(9) > SMA(21) > SMA(50) > SMA(200). Bearish Bias: reverse order or price below all SMAs. 🔹 Volatility Compression Bollinger Bands (20) contracting inside Keltner Channels (20) marks the volatility “squeeze.” This condition reflects a market equilibrium about to shift—the “coiling spring” pattern. Once Bollinger Bands expand beyond the Keltner Channel, momentum is likely to surge. 🔹 Liquidity & Volatility Filters Market Cap ≥ 2 B USD—avoids microcaps and ensures institutional-grade volume. Volume ≥ 500 K—screens only actively traded stocks. ATR(14) ≥ 0.5—ensures sufficient daily range for tradeable volatility. ADR ≤ 2%—filters excessive overnight risk. How It Works Compression Detection—The screener finds assets where Bollinger Bands are inside the Keltner Channel, signaling low volatility. Trend Alignment—SMA structure confirms the directional bias of the underlying trend. Expansion Trigger—A breakout from the squeeze with aligned SMAs marks a high-probability trend continuation or reversal wave (TRW). ⚡ 3. Gabriel’s Low Float Mover—High-Volatility Momentum Screener Credit to Ross Cameron from Warrior Trading. Description: Gabriel’s Low Float Mover is engineered to detect high-momentum, low-float stocks exhibiting abnormal volume surges, strong pre-market strength, and breakout behavior. It filters for equities within the $2.5–$25 range, making it ideal for traders targeting parabolic intraday and swing moves driven by speculative rotation, news catalysts, or short squeezes. Core Filters ⚙️ Liquidity & Market Cap Price: $2.50–$25 Focuses on the sweet spot for retail and small-float momentum plays. Market Cap: $300M–$2B Captures low- to mid-float tickers with enough liquidity to run but small enough to move violently on volume. 🔥 Momentum & Volume Criteria Relative Volume ≥ 5× Ensures today’s activity is at least 5× higher than normal—confirming crowd participation or news-based rotation. New High (1 Month) Filters for fresh breakouts or stocks reclaiming momentum from consolidation. Pre-Market Change ≥ 2%— Detects early strength before the open, a key tell for potential runners. ⚖️ Risk Control ADR ≥ 2% Limits overnight tracking error and ADR volatility, focusing on domestic tickers with cleaner price action. How It Works Identifies low-float, mid-cap stocks within the preferred retail volatility range. Confirms momentum ignition using relative volume, recent highs, and pre-market confirmation. Highlights tickers most likely to experience intraday breakouts, halts, or squeezes. Use Case Built for day traders, momentum scalpers, and swing traders who thrive in fast-moving markets. The screener surfaces potential runners before market open, allowing early preparation and pre-market watchlist building. ⚖️ 4. Gabriel’s VPC—Value-to-Price Compression Screener Credit to Mark Minervini. Concept: The Value-to-Price Compression (VPC) model identifies stocks transitioning from deep value recovery to early momentum, trading between their 52-week extremes. It captures the “middle zone” where institutional accumulation typically begins—not too oversold, not too overbought. Core Framework: Price ≥ 30% above 52W Low—signals strength recovery from a value base; the more the better, preferably higher than 100%. Price ≤ 30% below 52W High—leaves headroom for continued upside; the closer to the 52-week high, the better. SMA (50), SMA (150), and SMA (200) measure long-term compression and potential golden-cross structure. Market Cap ≥ $300M, Volume ≥ 2M, ATR ≥ 0.5, ADR ≤ 2%—ensure clean, tradeable liquidity profiles. How It Works: Detects stocks recovering from lows but not yet overextended. Confirms trend compression via SMA alignment. Highlights candidates basing or consolidating before major continuation. Ideal Use Case: Best for swing and position traders aiming for sustained mid-cycle entries—the sweet spot between growth investing and technical momentum. 💹 5. Gabriel’s CANSLIM—Fundamental Growth & Institutional Leadership Screener Credit to William O'Neil. Description: Gabriel’s CANSLIM identifies elite growth stocks that exhibit accelerating earnings, strong sales expansion, operational efficiency, and improving institutional interest—while still trading within 30% of their 52-week highs. This screener merges O’Neil’s original CANSLIM principles with modern quantitative filters, designed to surface leaders emerging from consolidations with robust fundamentals and liquidity. Core Framework 📈 C – Current Quarterly & Annual Earnings EPS Growth (Quarterly YoY ≥ 25%)—highlights recent earnings acceleration. EPS Growth (TTM YoY ≥ 15%)—confirms consistency across annual cycles. Operating Margin (TTM ≥ 4.25%)—ensures profitable, scalable business models. 💰 A – Annual Earnings Growth Revenue Growth (TTM YoY ≥ 25%)—sustained top-line expansion validates structural growth. Net Margin (TTM ≥ 3%)—filters out low-quality revenue growth with poor conversion efficiency. 🧭 N – New Highs, Products, or Market Leadership Price ≤ 30% below 52-week high—positions within breakout range of institutional accumulation. ROCE (TTM ≥ 12%)—indicates strong capital efficiency and competitive advantage. 🏦 S / L / I / M – Supply, Leadership, Institutional Demand, Market Direction Market Cap ≥ $300 M USD—ensures institutional-grade tradability. Volume ≥ 5 M—screens for active institutional participation, the RS indicator. Net Debt / EBITDA ≤ 17—avoids over-leveraged names that can’t scale efficiently. ATR (14) ≥ 0.5 & ADR ≤ 2%—ensures both volatility for momentum and manageable risk. How It Works Filters fundamentally strong companies growing earnings and sales ≥ 20 % with efficient capital allocation. Targets those near technical breakout zones—above institutional support but below euphoria. Surfaces leaders capable of multi-quarter momentum continuation during strong market cycles. 💬 6. Gabriel’s Zulu Principle — Undervalued Growth with Technical Precision Description: Gabriel’s Zulu Principle is inspired by Jim Slater’s legendary small-cap investment philosophy — focusing on “niche growth at a reasonable price.” This screener merges the value discipline of fundamental analysis with technical alignment, surfacing emerging growth companies before institutional recognition. It’s designed to identify small- and mid-cap stocks that are growing earnings rapidly yet remain undervalued by traditional metrics, sitting quietly in volatility contraction zones — the perfect setup for asymmetric upside. 🔥7. Stocks In Play, ORB — Opening Range Breakout Momentum Screener Description: “Stocks In Play, ORB” is a high-momentum liquidity screener built to identify intraday breakout candidates showing explosive activity around the Opening Range Breakout (ORB) window. It focuses on high relative volume, strong ATR expansion, and clean volatility structure to surface equities with enough participation and range for active day trading. This is your go-to pre-market and intraday watchlist generator for finding the tickers that matter today.
CME_MINI:ES1!Education
by GabrielAmadeusLau
1
I Made $911 Trading S&P Futures | Day 65 Market BreakdownI made $911 today trading S&P Futures. It didn’t come easy — I barely slept last night, and my overnight orders failed around 3 AM. So I reset, stepped back, and waited for the one setup I’ve been tracking all week — the 6666 support bounce. Here’s how it played out, and what the VX Algo system showed me before the move. Pre-market sentiment was mixed. We had lingering shutdown headlines and low liquidity early in the session. But structurally, the market was leaning bullish on higher timeframes — meaning any deep dip would likely get bought. I had my eye on 6666 since last Friday as a key level. That’s where gamma support, 5-min MOB, and prior structure all aligned — a textbook reversal zone. When we got the VXAlgo ES X1 and NQ X3 buy signals near that level, I went long. Used smaller sizing at first, added into strength, and locked profits using a trailing stop. The bounce hit perfectly, and I was able to walk away green. Even though I made money, I caught myself getting a bit greedy lately. It’s a reminder — consistency comes from execution, not expectation. The market will give you what it gives — your job is to wait for alignment and trade clean. 3 out of 4 signals worked today for at least 5 points each. Tomorrow’s levels: Above 6822 bullish, below 6782 bearish.
CME_MINI:ES1!
by DiYWALLST
4
ES - November 7th - Daily Trade PlanNovember 7th- Daily Trade Plan - 7:50am *Before reading this trade plan, IF, you did not read yesterdays, or the Weekly Trade Plan take the time to read it first! (You can see both posts in the related publication section) * If my posts provide quality information that has helped you with your trading journey. Feel free to boost it for others to find and learn, also! My daily trade plan and real-time notes that I post are intended for myself to easily be able to go back and review my plan and how I did from an execution perspective. -------------------------------------------------------------------------------------------------------- Overnight low is 6715 and high is 6771. We have continued to create lower lows and as I have mentioned all week, we are getting close to the 6690 bigger trend breakdown. I do think today we have some good levels to grab some points and could produce a nice short squeeze. Key Levels Today - 1. Loss of 6715 and reclaim 2. Loss of 6703 and reclaim 3. Loss of 6696 and reclaim 4. Loss of 6690 (maybe down to 6683 and reclaim). Key Support Levels - 6711, 6703, 6696, 6690, 6683, 6675, 6666 Key Resistance Levels - 6726, 6732, 6742, 6749, 6755, 6766, 6771 Until price creates a higher high, I have to defer to the current micro trend which is the probability of price to continue lower. IF we lose 6690 and cannot reclaim 6785, we could melt down next week. I will post an update around 10am EST. ---------------------------------------------------------------------------------------------------------------- Couple of things about how I color code my levels. 1. Purple shows the weekly Low 2. Red shows the current overnight session High/Low (time of post) 3. Blue shows the previous day's session Low (also other previous day's lows) 4. Yellow Levels are levels that show support and resistance levels of interest. 5. White Levels are previous days session High/Low
CME_MINI:ES1!
by jhill1618
Two fundamental charts that call for cautionAfter several months of almost uninterrupted gains in U.S. equity markets, certain sentiment and positioning indicators suggest that a mature phase of the bullish cycle has now been reached. Two recent charts, published respectively by BofA Global Research and Real Investment Advice, clearly illustrate this state of moderate euphoria, which warrants a more cautious approach. The first chart, taken from the BofA Global Fund Manager Survey (FMS), shows that the average level of cash held by major institutional managers has fallen to 3.8% of assets under management, a cycle low. Historically, such low cash levels indicate high risk-taking and strong confidence in the market’s continued rise. BofA notes that a cash level of 3.7% or less constitutes a “sell” signal in their framework, as it suggests professional investors have little remaining dry powder to buy in case of a correction. In other words, the market’s “marginal buying power” is now limited. The second chart, published by Real Investment Advice, highlights the evolution of margin debt in the U.S.—the money borrowed by investors to buy stocks on credit, in other words, leverage. It currently sits at exceptionally high levels, far above its 48-month moving average. Every past episode of excessive margin debt—during the 2000 dot-com bubble, the 2008 financial crisis, or the 2021 speculative mini-cycle—was followed by a sometimes brutal normalization phase. These periods do not necessarily mark the start of a bear market but often signal a heightened vulnerability to any negative economic, geopolitical, or financial news. The combination of these two signals—fully invested managers and massive use of leverage—reflects an environment of extreme confidence. Such a configuration is common at the end of bullish cycles: investors seek to capture the last gains of a rally, but the slightest disappointment can trigger quick profit-taking. Without announcing an imminent reversal, these indicators call for prudent management: reassessing exposure to risky assets, strengthening diversification, and keeping cash available to seize potential opportunities during pullbacks. DISCLAIMER: This content is intended for individuals who are familiar with financial markets and instruments and is for information purposes only. The presented idea (including market commentary, market data and observations) is not a work product of any research department of Swissquote or its affiliates. This material is intended to highlight market action and does not constitute investment, legal or tax advice. If you are a retail investor or lack experience in trading complex financial products, it is advisable to seek professional advice from licensed advisor before making any financial decisions. This content is not intended to manipulate the market or encourage any specific financial behavior. Swissquote makes no representation or warranty as to the quality, completeness, accuracy, comprehensiveness or non-infringement of such content. The views expressed are those of the consultant and are provided for educational purposes only. Any information provided relating to a product or market should not be construed as recommending an investment strategy or transaction. Past performance is not a guarantee of future results. Swissquote and its employees and representatives shall in no event be held liable for any damages or losses arising directly or indirectly from decisions made on the basis of this content. 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Products and services of Swissquote are only intended for those permitted to receive them under local law. All investments carry a degree of risk. The risk of loss in trading or holding financial instruments can be substantial. The value of financial instruments, including but not limited to stocks, bonds, cryptocurrencies, and other assets, can fluctuate both upwards and downwards. There is a significant risk of financial loss when buying, selling, holding, staking, or investing in these instruments. SQBE makes no recommendations regarding any specific investment, transaction, or the use of any particular investment strategy. CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. The vast majority of retail client accounts suffer capital losses when trading in CFDs. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Digital Assets are unregulated in most countries and consumer protection rules may not apply. As highly volatile speculative investments, Digital Assets are not suitable for investors without a high-risk tolerance. Make sure you understand each Digital Asset before you trade. Cryptocurrencies are not considered legal tender in some jurisdictions and are subject to regulatory uncertainties. The use of Internet-based systems can involve high risks, including, but not limited to, fraud, cyber-attacks, network and communication failures, as well as identity theft and phishing attacks related to crypto-assets.
CME_MINI:ES1!
by Swissquote
Day 64 — Trading Only S&P Futures | 6/7 Signal AccuracyRecap & Trades Day 64 — a clean, structured trading day. Started small with team trades from Bia’s setups, and when we hit the bottom of the day, I saw the double bottom support and multiple buy signals align. That was the cue. I went long, set a 20-point trailing stop, and let the algo handle the rest. Sometimes, the best play is not to overtrade — just trust your plan. Lesson & Mindset When you’re in sync with your system, execution becomes effortless. The double bottom setup plus confluence from team signals made this a high-confidence day. This is how professional consistency looks — smaller, cleaner, smarter. News & Levels Markets dipped after fresh layoff reports hit — Dow down 300, VIX spiked — but the bounce off key support shows resilience. Tomorrow’s levels: Above 6835 bullish, below 6810 bearish.
CME_MINI:ES1!
by DiYWALLST
3
ES (SPX, SPY) Key Levels, Analysis and Setups for Fri (Oct 7th)EVENTS (ET, unaffected by shutdown): 3:00am NY Fed Williams speech; 7:00am Fed Vice Chair Jefferson speech; 10:00am Univ. of Michigan Consumer Sentiment (prelim); 2:00pm Fed G.19 Consumer Credit. Employment Situation report is postponed due to the shutdown (treat as no 8:30am print). SETUPS (Level-KZ Protocol 15m→5m→1m) ES LONG (A++) — 6,767 reclaim → 6,784 → 6,821 Entry: 6,768–6,772 after a 5m close and hold above 6,767 with 1m HL confirmation. Hard SL: 6,755. TP1: 6,784. TP2: 6,821. TP3: 6,845 if momentum persists. ES SHORT (A++) — 6,784–6,790 pop-and-fail → 6,749 → 6,733 Entry: 6,782–6,789 on a 15m rejection close back inside the band followed by a 5m re-close down. Hard SL: 6,796. TP1: 6,767. TP2: 6,749. TP3: 6,733. ES LONG (A+ Bounce) — 6,742–6,749 sweep & instant reclaim → 6,767 → 6,784 Entry: 6,750–6,753 after a swift reclaim and 1m HL. Hard SL: 6,740. TP1: 6,767. TP2: 6,784. TP3: 6,821. ES SHORT (A+ Continuation) — 6,733 breakdown & retest → 6,700 → 6,659 Entry: 6,732–6,728 on 15m acceptance below 6,733 and a 5m LH retest. Hard SL: 6,744. TP1: 6,700. TP2: 6,659. TP3: 6,597. KILL-ZONES & MANAGEMENT Asia 20:00–00:00 optional and lighter size, London 02:00–05:00 optional, NY AM 09:30–11:00 primary for entries, Lunch 12:00–13:00 manage only, NY PM 13:30–16:00 allows second push or reversal plays. Daily guardrails: stop at −2R net or lock in ≥+3R net.
CME_MINI:ES1!
by MyAlgoIndex
1
Understanding Money Flow Index In TradingMoney Flow Index (MFI) is a volume-weighted oscillator (0–100) that blends price and volume to show where real buying or selling pressure is building. By comparing positive vs. negative money flow from the Typical Price ((H+L+C)/3) and volume, MFI acts like a volume-aware RSI . Traders use it to spot overbought/oversold zones (commonly >80/<20), confirm trend regimes around the 50 line, and catch divergences that often precede reversals. It’s simple, fast, and works across stocks, crypto, and FX—best used with a clear market structure and disciplined risk management. 1) Why is MFI important in trading? MFI blends price and volume into a single oscillator, helping you spot exhaustion, confirm trends, and catch divergences earlier than price-only tools. Think of it as a volume-weighted RSI that validates whether a move is backed by real participation. Captures “true” buying/selling pressure via volume. Flags overbought/oversold zones more selectively than RSI. Great for divergences, regime reads, and pullback timing. 2) MFI Components Typical Price (TP): (High + Low + Close) / 3 Raw Money Flow (RMF): TP × Volume Positive/Negative MF: Sum RMF on up-TP vs down-TP bars Money Flow Ratio (MFR): PMF / NMF MFI Line (0–100): RSI-style transform of MFR Default length: 14 (common, tweakable) 3) MFI Formula //@version=5 // Formula sketch (not an executable script) TP_t = (high + low + close) / 3 RMF_t = TP_t * volume // Over N bars: PMF = sum( RMF_t where TP_t > TP_{t-1} ) NMF = sum( RMF_t where TP_t < TP_{t-1} ) // If TP_t == TP_{t-1}, ignore bar MFR = PMF / NMF MFI = 100 - (100 / (1 + MFR)) 4) Interpreting MFI signals Here’s how to read the line like a pro. Zones: Overbought > 80 (extreme > 90), Oversold < 20 (extreme < 10) Divergences: Bearish = price HH while MFI LH; Bullish = price LL while MFI HL Midline/Regimes: Above 50 favors bulls; below 50 favors bears Failure swings: Overbought → pullback → lower MFI high while price retests = caution 5) Trend & Momentum Analysis Use MFI to confirm trend strength and quality. Bullish ranges: MFI oscillates ~40–90 in uptrends; 50 often holds on dips Bearish ranges: MFI oscillates ~10–60; rallies stall near 50–60 Momentum bursts: Fast pushes into 80–90 after consolidation often precede breakouts Multi-timeframe: Align higher-TF MFI regime (e.g., 1D) with lower-TF entries (e.g., 1H) 6) MFI-Based Trading Strategies Practical, testable rules you can refine. A) Mean Reversion (Counter-Trend) Entry: MFI < 20 → bullish reversal candle or break of minor swing high Invalidation: Below the setup candle’s low or last swing low Exits: MFI back to 50–60, or retest of VWAP/mid-channel B) Breakout Confirmation Precondition: Sideways range, contracting volatility Trigger: Close outside the range and MFI > 55–60 (or spike > 80) Exits: Trail behind structure/ATR; partials at measured move of the range C) Trend Pullback Buy Context: Uptrend with MFI mostly > 50 Entry: Pullback drives MFI into 40–50 then curls up; enter on HH/HOC close Exits: Prior high, Fib extensions, or when MFI loses 50 again D) Divergence Reversal Trigger: Clear price/MFI divergence + break of a micro trendline or last swing Risk: Tight stop past divergence origin Targets: Midline 50 first, then opposing extreme 80/20 Confluence ideas: Pair with RSI, OBV, Bollinger Bands, or Volume Profile; require session/time filters for intraday assets. 7) Limitations of MFI Know where it can mislead you. Strong trends can pin MFI at extremes (overbought can stay overbought). Volume quality matters (tick volume ≠ , centralized exchange volume). Parameter sensitivity: too short = noise; too long = lag. Data irregularities (thin books, outages, rollovers) can skew readings. 8) Optimization Smart tweaks that actually help in live markets. Dynamic Zones: Replace fixed 80/20 with rolling percentiles (e.g., 90th/10th of last 252 bars). Adaptive Length: Tie MFI length to ATR/realized vol to reduce whipsaws. Session Filters: Act only during liquid sessions; avoid lunch hours/illiquid opens. Walk-Forward Testing: Validate across regimes; don’t overfit one market. Risk First: Size by ATR; plan partials; use time-based exits to avoid stagnation. 9) Key Takeaways Wrapping it up with what matters most. MFI is a volume-aware oscillator that improves on RSI in participation-heavy moves. Use 50 as a regime filter; use 80/20 (or dynamic zones) for edges. Best signals: divergences, trend-pullback resets, and breakouts with MFI thrust. Respect limitations: trends can pin MFI; validate with structure and clear risk controls. Optimize with percentile zones, adaptive lengths, and session filters—then forward-test.
CME_MINI:ES1!Education
by CandelaCharts
ESI left the trend lines on to illustrate the trend break and re-test of the level. T.A explained - BackSide (BS) FrontSide (FS) Inverse BS (Inv.BS) Inverse FS (Inv.FS) BS & FS levels are expected support when dashed lines, tested when dotted and resistance when solid lines. The inverse is true for the Inv. BS Inv. FS levels, they are resistance as dashed lines, tested as dotted and support as solid lines. Monthly timeframe is color pink weekly grey daily is red 4hr is orange 1hr is yellow 15min is blue 5min is green if they are shown. strength favors the higher timeframe. 2x dotted levels are origin levels where trends have or will originate. When trends break, price will target the origin of the trend. its math, when the trend breaks, the vertex breaks too so the higher timeframe level/trend that breaks, the more volatility there could be as strength in the orders flow in to fuel the move. yesterday Trade closed manually price followed the candle science and timeframes from the 5min green levels to the weekly grey level. Price has left behind some inverse frontside and inverse backside candles which look to be forming the bridge to flip the script if price manages to gain those levels and start accumulation. That liquidity will "unlock" and fuel price action. anyways, the next levels below are the weekly and monthly levels. I need to update & post the next chart on the daily and 4hr timeframes.
CME_MINI:ES1!
by StudyGuideTA
S&P500: Rebound S&P 500 futures managed to stage a modest rebound in yesterday’s session and are now showing renewed upward momentum. In our primary scenario, we expect magenta wave (5) to continue climbing and to ultimately mark a final high that completes the larger blue wave (III). Afterward, we anticipate a corrective phase via magenta wave (A), which should pull the index toward support at 6,371 points. However, if prices drop directly below the 6,371 points support, our alternative scenario will come into play. In that case, the alternative wave alt.(4) would likely extend further downward, finding its low within the magenta alternative Target Zone between 6,055 and 5,822 points.
CME_MINI:ES1!Long
by MarketIntel
Bullish Hidden Divergence Signals Potential Upside ReversalA bullish hidden divergence is forming on the MACD indicator, suggesting underlying strength despite recent price pullback. This setup often precedes a continuation of the uptrend, with price likely to break above the descending trendline resistance. Key support near 6,690 remains intact, providing a solid base for a potential rally toward recent highs. Traders should watch for confirmation of breakout momentum.
CME_MINI:ES1!Long
by PropTradingAuthority
ES - November 6th - Daily Trade PlanNovember 6th- Daily Trade Plan - 6:25am *Before reading this trade plan, IF, you did not read yesterdays, or the Weekly Trade Plan take the time to read it first! (You can see both posts in the related publication section) * If my posts provide quality information that has helped you with your trading journey. Feel free to boost it for others to find and learn, also! My daily trade plan and real-time notes that I post are intended for myself to easily be able to go back and review my plan and how I did from an execution perspective. -------------------------------------------------------------------------------------------------------- Since we continue to chop around in this range between 6770-6850, I will not get into too much detail about yesterday's price action as you can take a look at my trade plan from yesterday and read through the notes and what my expectation were and levels, we had to execute the trade plan! Today we have ADP Employment numbers, PMI & ISM with tomorrow being the Jobs Report! Our overnight low is 6804 and our high is 6835. As of typing this plan, you can clearly see that we have made lower lows, and lower highs overnight, so far. We are in a tight 30 pt range and bigger picture, I have talked this week about how 6856-60 a big resistance. I have also stated that 6690-95 is our level that needs to hold to keep the bigger picture bull case intact. I expect a lot of choppy/trapping today and tomorrow. IF price does clear 6870, we should run back to new highs. IF price loses 6750, my expectation is that we test 6719, 6680. Until we clear 6870, the current trend is for price action to lose 6750 and create a new lower low. Key Levels Today - 1. Loss of 6807 and reclaim 2. Loss of 6792 and reclaim 3. Loss of 6773 and reclaim 4. Loss of 6749 and reclaim IF price clears 6835 (Overnight high) prior to 9:30am open, we could see some FOMO and chasing at the open. IF price does fall back into the overnight range, I would be careful as we could head lower. Key Support Levels - 6823, 6807, 6792, 6773, 6765, 6758, 6750 Key Resistance Levels - 6835, 6843, 6849, 6857, 6867, 6873 Until price creates a higher high, I have to defer to the current micro trend which is the probability of price to continue lower. I will post an update around 10am EST. ---------------------------------------------------------------------------------------------------------------- Couple of things about how I color code my levels. 1. Purple shows the weekly Low 2. Red shows the current overnight session High/Low (time of post) 3. Blue shows the previous day's session Low (also other previous day's lows) 4. Yellow Levels are levels that show support and resistance levels of interest. 5. White Levels are previous days session High/Low
CME_MINI:ES1!
by jhill1618
Day 63 — Trading Only S&P Futures +$149.80Recap & Trades Day 63 — a quiet, disciplined day. I started late, didn’t see any A+ setups, so I mostly stayed out of the market. The only positions came from overnight team orders that Bia and Ray placed — and they hit perfectly. It’s a reminder that sometimes, letting the plan work without forcing it can be the best trade of all. Lesson & Mindset Not every day needs to be high action. The best traders know when to trade — and when to protect their mental and financial capital. If the market structure doesn’t align, patience is a position. News & Levels Futures pushed higher on headlines that Schumer and Jeffries are seeking a deal to end the government shutdown. It’s keeping sentiment slightly bullish into the next session. Tomorrow’s levels: Above 6870 bullish, below 6860 bearish.
CME_MINI:ES1!
by DiYWALLST
ES (SPX, SPY) Analysis, Key Zones, Setups for Thu (Nov 6)The daily trend has softened following the formation of a lower high. Analysis of the 4-hour chart indicates a bounce that encountered resistance near the 6860–6870 range, subsequently retreating to the 6810 support level. As we look ahead to tomorrow's trading, consider the 6805–6808 range as the key intraday “threshold” while the 6830–6835 zone will serve as the first significant resistance level to watch. Setups (Level-KZ Protocol 15/5/1; NY KZ 09:30–11:00 & 13:30–16:00 ET) 1. Acceptance long from support Trigger: 15m holds S1 6805–6808 → 5m reclaim 6823 VWAP → 5m close above 6830. Entry: 6831–6834 on first 1m HL after the 5m re-close. SL: 6821 (hard) or 15m trigger-wick −0.25–0.50 pt. TP1: 6856–6861 (≥2R gate). TP2: 6870–6873. TP3: 6890–6895 if squeeze. Management: No partials before TP1; at TP1 close 70%, set 30% runner to BE; no trail before TP2. 2. Rejection fade short from resistance Trigger: Pop into 6856–6861, stall, then 5m full-body re-close back below 6856 with 1m LH. Entry: 6850–6854. SL: 6864.25 (hard) or 15m wick +0.25–0.50. TP1: 6830–6832. TP2: 6823 VWAP. TP3: 6805–6808. Note: If 5m re-claims 6861 after entry, exit early; setup invalid. 3. Breakdown continuation short Trigger: 5m body close below 6805 with retest fail from beneath. Entry: 6800–6803. SL: 6810.75 (hard) or 15m wick +0.25–0.50. TP1: 6790–6795. TP2: 6768–6772. TP3: 6747–6752. Note: If reclaim and 5m closes back above 6808, cancel. 4. Breakout continuation long Trigger: 5m acceptance above 6861 and hold on retest. Entry: 6862–6865 on first 1m HL. SL: 6853.25. TP1: 6870–6873. TP2: 6885–6890. TP3: 6905–6912. Note: If acceptance fails (5m body back under 6861), flip bias back to fade R3. Event map for Thursday (ET) FOMC meeting Day 1 (runs Thu–Fri; Fed is not affected). EIA Weekly Natural Gas Storage 10:30. Most BLS/DOL macro releases (e.g., Productivity & Costs, Weekly Jobless Claims) are suspended during the shutdown. Expect fewer 8:30 prints and thinner liquidity until the cash open.
CME_MINI:ES1!
by MyAlgoIndex
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