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Volatilty

How to Use ATR in TradingViewMaster ATR using TradingView's powerful charting tools in this step-by-step tutorial from Optimus Futures. ATR, or Average True Range, is a volatility indicator that helps traders measure market movement, set appropriate stop losses, and adjust position sizing based on current market conditions. What You'll Learn: Understanding ATR as a volatility measurement tool that tracks price movement regardless of direction How ATR calculates the average range between highs and lows over a specified period — typically 14 Why rising ATR signals increasing volatility and larger price swings Why falling ATR indicates decreasing volatility and quieter market conditions Using ATR to set dynamic stop losses that adjust to current volatility rather than arbitrary dollar amounts How to calculate stop distances by multiplying ATR by factors like 2x or 3x Applying ATR for position sizing to maintain consistent risk across different volatility environments Setting profit targets based on ATR multiples to align with actual market movement Filtering trade setups using ATR levels to avoid low-volatility periods or confirm breakout momentum How to add ATR on TradingView via the Indicators menu Understanding the default 14-period setting and how shorter or longer periods affect responsiveness Practical examples using the E-mini S&P 500 futures chart Applying ATR across daily, weekly, and intraday timeframes for risk management and trade planning This tutorial is designed for futures traders, swing traders, and risk-focused analysts who want to integrate volatility-based risk management into their trading approach. The methods discussed may help you set smarter stops, size positions appropriately, and adapt your trading strategy to changing market conditions across multiple markets and timeframes. Learn more about futures trading with TradingView: optimusfutures.com Disclaimer There is a substantial risk of loss in futures trading. Past performance is not indicative of future results. Please trade only with risk capital. We are not responsible for any third-party links, comments, or content shared on TradingView. Any opinions, links, or messages posted by users on TradingView do not represent our views or recommendations. Please exercise your own judgment and due diligence when engaging with any external content or user commentary. This video represents the opinion of Optimus Futures and is intended for educational purposes only. Chart interpretations are presented solely to illustrate objective technical concepts and should not be viewed as predictive of future market behavior. In our opinion, charts are analytical tools, not forecasting instruments.
COMEX:GC1!Education
by Optimus Futures
FED days are for levels, not direction.FED days are for levels, not direction. Above 90k I respect the squeeze; below 85.3k I respect the breakdown. Map, not signal. KRAKEN:BTCUSD BTC is chopping around 88k just under a 1h channel top into FED today/tomorrow. ETF flows look soft and options positioning still leans defensive. I’m not opening new trades into the announcement. Anything stuck between 87–89k post-FED is a no-trade chop zone for me. Post-FED: if BTC holds above 90k I’ll only look for pullback longs with 92–93k as context; if it loses 85.3k and can’t reclaim, I’ll lean into shorts toward 82–81k. Map, not signal.
KRAKEN:BTCUSD
by vanlubow
ETHEREUM(ETH/USD): Consolidation – The Silence of VolatilityEven though ⚠️ETHEREUM is trading in a bearish trend since October, 📉 The pair has been in a deep consolidation, since the last 3 days 🗓️ The price is currently testing a strong horizontal support level where the price is consolidating. ↔️ Because the trend is strongly bearish, chances will be high to see a further bearish continuation. 🐻 Your reliable confirmation will be a breakout and a 4H candle close below the underlined support. 🕯️ The next goal for the sellers will be 2840 🎯 Alternatively, the market may continue consolidating and trading within the range. 🔄
BINANCE:ETHUSD
by linofx1
6
BTC at HTF Shelf: Execute Only on ≥2H Reversal__________________________________________________________________________________ Market Overview __________________________________________________________________________________ Risk-off momentum drove Bitcoin into a dense multi-timeframe demand shelf, where price is probing for a reaction after losing 98k–100k. The next impulse likely comes from the battle around 95.8–95.9k and whether buyers can stage a clean reversal. Momentum: Bearish drive into HTF demand; intraday trend remains down while daily is mixed-to-up in the background. Key levels: - Resistances (12H/1D): 97,300–98,200; 100,000; 101,600–103,000 - Supports (2H/4H/12H/1D): 95,820–95,920; 95,200–95,000; 92,000 Volumes: Very high on 12H and below (sell waves); normal on 1D — momentum is flow-driven, not a pure volume vacuum. Multi-timeframe signals: 12H/6H/4H/2H/1H downtrends; 1D uptrend — execution should respect 12H Down unless ≥2H prints a confirmed reversal at 95.8–95.9k. Harvest zones: 95,900 (Cluster A) / 95,000–95,200 (Cluster B) — ideal dip-buy zones for inverse pyramiding if a ≥2H reversal confirms. Risk On / Risk Off Indicator context: Neutral Sell — confirms the risk-off push and argues for patience on longs unless the cluster defends with real follow-through. __________________________________________________________________________________ Trading Playbook __________________________________________________________________________________ We operate in a corrective, risk-off tape pressing into HTF demand; take a tactical stance and let ≥2H confirmation lead. Global bias: Neutral Sell while under 98,000–100,000; key invalidation for shorts = reclaim and close above 98,000 with follow-through. Opportunities: - Buy: Only on a ≥2H bullish reversal from 95,800–95,900; target 96,600–97,000 then 97,800–98,200. - Breakout: Reclaim >98,000 with momentum → ride into 100,000 then 101,600–103,000. - Tactical sell: Fade failed retests at 97,800–98,200 or a ≥2H close below 95,800 with a failed retest. Risk zones / invalidations: A sustained ≥2H close below 95,800 would invalidate the bounce idea and open 95,200–95,000, then 92,000. Macro catalysts (Twitter, Perplexity, news): Heavy spot ETF outflows reinforce risk-off; global equities in broad risk-off; upcoming FOMC/CPI could shift dollar/liquidity and the crypto beta. Harvest Plan (Inverse Pyramid): - Palier 1 (12.5%): 95,900 (Cluster A) + reversal ≥2H → entry - Palier 2 (+12.5%): 92,100–90,100 (-4/-6% below Palier 1) - TP: 50% at +12–18% from PMP → recycle cash - Runner: hold if break & hold first R HTF (97,800–98,200 zone) - Invalidation: < HTF Pivot Low 95,000 or 96h no momentum - Hedge (1x): Short first R HTF on rejection (97,800–98,200) + bearish trend → neutralize below R __________________________________________________________________________________ Multi-Timeframe Insights __________________________________________________________________________________ HTF uptrend (1D) conflicts with intraday downtrends, placing the burden of proof on buyers at the 95.8–95.9k shelf. 12H/6H/4H/2H/1H/30m/15m: Downtrends with very high sell-side volume; repeated tests of 95.8–95.9k raise risk of a flush if it fails, while failed breakdowns can spring sharp squeezes into 97.3–98.2k. 1D: Still up but losing momentum; the 95.8–96.0k cluster aligns with multiple prior pivot lows — a defendable shelf if buyers print a clean reversal and reclaim 97.8–98.2k. Divergences/confluences: ISPD DIV = BUY at the cluster while Risk On / Risk Off Indicator = Neutral Sell — confluence for reactive bounces only, not blind catching; wait for ≥2H confirmation. __________________________________________________________________________________ Macro & On-Chain Drivers __________________________________________________________________________________ Macro risk-off and ETF outflows pressure BTC; the path hinges on whether flows stabilize and the 95.8–95.9k shelf holds. Macro events: Global equities are risk-off; energy/geopolitics keep volatility elevated; upcoming FOMC/CPI loom as catalysts that can swing liquidity and risk appetite. Bitcoin analysis: Breakdown below 100k with a six-month low near ~97k; weekly close vs ~101k is pivotal. Heavy ETF outflows and liquidations weigh unless key resistances are reclaimed. On-chain data: Long-term holders have been distributing, but sellers show signs of exhaustion — a setup for relief if flows stabilize and levels reclaim. Expected impact: If the shelf holds and outflows cool, a relief bounce toward 97.8–98.2k and 100k is likely; otherwise, a clean failure risks 95.0k then 92k. __________________________________________________________________________________ Key Takeaways __________________________________________________________________________________ We are in a corrective, high-volatility test of a dense demand cluster. - Trend: Intraday bearish within a mixed HTF context; respect 12H Down unless ≥2H prints a clean reversal. - Best setup: Reactive long only on a ≥2H reversal at 95.8–95.9k; otherwise fade failed retests at 97.8–98.2k. - Macro factor: ETF outflows are the main headwind; watch FOMC/CPI for a regime nudge. Stay patient, let the shelf prove itself, and treat each move like a boss fight — confirm the phase before committing.
Long
by Ox_kali
Bitcoin Playbook: Neutral‑Sell Below 106.5k, Buy Floors__________________________________________________________________________________ Market Overview __________________________________________________________________________________ Price is compressing beneath overhead supply as a rebound from sub‑$100k meets the 2H/1D resistance shelf. Momentum is tactically capped unless 104.8k converts to support; dips into HTF floors remain the higher‑quality rotations. Momentum: Cautiously bearish tilt (range‑within‑compression) as bounces probe 104.8k supply while 12H/6H trends point down. Key levels: - Resistances (2H/1D/HTF): 104,845 (2H pivot) • 106,460 (1D pivot high) • 111,577 (HTF band) - Supports (1D/12H/4H–6H): 101,550–100,395 (near‑cluster) • 99,241–99,396 (tight 4H/6H cluster) • 98,243 (weekly pivot low) Volumes: Normal overall; 12H shows moderate spikes only as an amplifier near key levels. Multi-timeframe signals: 1D = Up vs 12H/6H/4H/2H = Down; structure favors fading 104.8k–106.5k unless 2H/1D acceptance prints. Longs are higher quality on 101.6k–100.4k reactions with ≥2H confirmation. Harvest zones: 99,300 (Cluster A) / 96,800–97,300 (Cluster B). Ideal dip‑buy areas for inverse pyramiding with confirmation, using Cluster A as the initial anchor. Risk On / Risk Off Indicator context: Neutral sell bias; this risk‑off tilt confirms the preference to sell rallies into resistance and be selective on dips. __________________________________________________________________________________ Trading Playbook __________________________________________________________________________________ The dominant stance is neutral‑sell while price sits under 104.8k–106.5k; lean short into supply and buy only confirmed HTF floors. Global bias: Neutral‑sell below 106,460; upside bias resumes only on daily acceptance above 106,460. Opportunities: - Tactical sell: Fade 104,845 on rejection with 15m–2H confirmation; target 103,500 then 101,550–100,395. - Tactical buy: Sweep/reclaim 101,550–100,395 with ≥2H bullish close; target 104,845 then 106,460. - Breakout buy: Reclaim/hold above 104,845 on 1H–2H and buy the successful retest toward 106,460. Risk zones / invalidations: - Break and daily hold above 106,460 would invalidate near‑term shorts and unlock higher. - Sustained closes below 100,395 would invalidate tactical longs and expose the 99.4k cluster or worse. Macro catalysts (Twitter, Perplexity, news): - Easier funding backdrop (lower SOFR/MOVE) supports risk but remains conditional. - Potential US shutdown resolution and policy chatter on leveraged spot crypto trading = headline volatility risk. - Fed cut with a hawkish tone keeps cross‑asset risk mixed; wait for confirmations at levels. Harvest Plan (Inverse Pyramid): - Palier 1 (12.5%): 99,300 (Cluster A) + reversal ≥2H → entry - Palier 2 (+12.5%): 95,300–93,300 (-4/-6% below Palier 1) - TP: 50% at +12–18% from PMP → recycle cash - Runner: hold if break & hold first R HTF (104,845) - Invalidation: < HTF Pivot Low or 96h no momentum - Hedge (1x): Short first R HTF on rejection + bearish trend → neutralize below R __________________________________________________________________________________ Multi-Timeframe Insights __________________________________________________________________________________ Across TFs, growth impulses are capped by 104.8k–106.5k while high‑quality demand sits at 101.6k–100.4k and 99.4k. 1D: Uptrend attempt but still beneath 106,460; acceptance above that level would open room to unwind the HTF supply. 12H/6H/4H: Downtrend bias; current leg is a rally into 104,845 resistance. Failure here typically rotates price back into 101,550–100,395, with 99,241–99,396 as secondary demand. 2H/1H/30m/15m: Execution battleground at 104,845; LTF momentum can trap unless 104,845 flips to support. Look for wick rejections at resistance or strong reclaim signals at HTF floors. Major divergence: 1D Up vs 12H Down keeps conviction muted; trade level‑to‑level with confirmation. __________________________________________________________________________________ Macro & On-Chain Drivers __________________________________________________________________________________ Macro is cautiously supportive via easier funding but headline‑driven; crypto policy chatter could catalyze volatility around range edges. Macro events: Lower SOFR/MOVE ease financial conditions, but a potential US shutdown resolution and ongoing Fed communication keep risk skittish; volatility pockets likely around key data and policy headlines. Bitcoin analysis: Price coiling in a ~$98k–$108k window; topside requires 104k+ acceptance, while loss of 98.5k would degrade structure. HTF floors align with the technical buy zones. On-chain data: Mixed signals and sporadic supply awakenings; no decisive impulse, reinforcing the need to trade from well‑defined levels. Expected impact: Macro/on‑chain are not overriding; they reinforce a neutral‑sell technical bias and level‑driven executions. __________________________________________________________________________________ Key Takeaways __________________________________________________________________________________ BTC is compressing under resistance with a risk‑off tilt; patience at levels remains the edge. - Trend: Neutral with bearish lean until 104,845 flips and 106,460 holds. - Best setup: Fade 104,845 rejections; buy only confirmed reactions at 101,550–100,395 and, if needed, 99,241–99,396. - Macro: Easier funding helps, but policy headlines can quickly shift tone. Stay disciplined: harvest volatility at the edges and let confirmation lead, not anticipation.
INDEX:BTCUSD
by Ox_kali
Temporal Drift Alpha | Rotating Volatility | Hidden Rhythm🧠 Deep Dive: Hidden Alpha in Odd Intraday Charts Been experimenting lately with non-standard intraday timeframes on TradingView — specifically the 10-hour chart — and it’s producing some really interesting results. My 1D strategies only needed minor calibration to fit intraday conditions (mainly risk and signal sensitivity tweaks), but once adjusted, they started performing significantly better on 10H than on standard 4H / 12H / 1D setups. Here’s why I think it’s happening 👇 ⚙️ 1. Uneven time alignment = session drift 10H doesn’t divide evenly into 24H, so candle start times rotate across the global trading cycle (Asia → London → NY). That means each bar is pulling from a different combination of regional liquidity and volatility windows — you’re not seeing the same “slice” of the day over and over. - 06:00 → overlaps Asia close + London open - 16:00 → overlaps US open - 20:00 → catches late NY + early Asia handoff This rotation keeps repeating every couple of days, giving you asynchronous snapshots of how the market behaves between sessions — and that’s where inefficiencies tend to hide. 📊 2. Structural alpha exposure By breaking away from the standard 8H / 12H / 1D alignment, you end up: - Capturing transition volatility (session overlaps) - Avoiding compressed daily smoothing - Getting more responsive structure shifts for trend/momentum setups It’s basically giving you a rotating volatility lens. You’re still seeing the full picture, but through different angles each cycle. 🧩 3. Strategy behavior differences On the 10H: - Momentum filters trigger cleaner — fewer false breaks - Mean reversion signals reset faster after exhaustion - BB, RSI, EMA-type systems react smoother, since the noise from hard session resets (like 00:00 UTC) is reduced I’m seeing way fewer “dead zones” between signals — and overall smoother PnL curves, even with identical logic. 📈 4. Practical takeaway Odd-hour timeframes like 10H act like a “rotating frame sampler” for the market. They shift through liquidity regimes automatically — giving you a natural form of temporal diversification. If your 1D systems are solid but a bit laggy or overly smoothed, try re-anchoring them on 10H, 14H, or 22H and recalibrating your risk and confirmation filters slightly. There’s legit structural alpha buried in how these bars cut across the global cycle. 🧠 TL;DR 10H charts = not random noise. They’re asynchronous time slices that expose unbalanced session transitions — something most backtests miss. I’ll be running deeper tests on return bias and volatility clustering per candle start hour (06:00, 16:00, 20:00, etc.), but early signs point to repeatable behavior . This could be one of those tiny structural edges that compounds over time. Sometimes alpha isn’t in new indicators — it’s in how we slice time. ⏳⚡️
INDEX:BTCUSD
by RWCS_LTD
Why Bitcoin’s 4-Year Cycle Might Be Its Biggest LimitationFor years, traders have treated Bitcoin’s 4-year halving as sacred — a mechanical driver of boom and bust. But what if the real reason these cycles repeat isn’t the code… but the crowd? Mechanically, Bitcoin’s issuance schedule is a smooth, predictable decline. The halving simply adjusts the slope of supply — it doesn’t dictate price. Yet, like clockwork, markets rise and fall every four years. Why? Because we expect them to. This expectation creates a self-fulfilling feedback loop: - Pre-halving optimism fuels accumulation and speculative positioning. - Post-halving euphoria drives parabolic rallies as new participants flood in. - Overvaluation and leverage eventually unwind, triggering brutal corrections. The halving became the metronome of market psychology — a narrative so powerful that it shaped behavior more than fundamentals ever did. 🧠 The Institutional Shift Now, that narrative is being rewritten. Institutions don’t trade on memes or cycles — they trade on models, liquidity, and risk. Unlike retail investors, institutions hate volatility. They don’t chase euphoria; they manage exposure. - ETFs and funds accumulate steadily through structured inflows. - Option and futures desks hedge risk dynamically, suppressing volatility. - Algorithmic allocators rebalance based on Sharpe ratios, not halving hype. This structural participation acts as a volatility dampener — flattening the amplitude of Bitcoin’s historic boom-bust waves. 🌍 From “Halving Cycle” to “Liquidity Cycle” As Bitcoin matures, the real driver of its price action is shifting away from internal events and toward macro liquidity conditions : - When global liquidity expands (rate cuts, QE, easing credit), Bitcoin thrives. - When liquidity contracts (rate hikes, QT, risk-off sentiment), Bitcoin cools. In this new phase, the halving’s scarcity still matters — but it’s no longer the heartbeat. Instead, Bitcoin is syncing to the rhythm of global capital flows. 📈 The New Market Identity We’re watching Bitcoin transition from a reflexive narrative asset to a macro-integrated store of value . If this continues, the implications are profound: - Shallower drawdowns and fewer liquidation cascades. - More consistent accumulation across cycles. - Higher institutional allocation as volatility compresses. Ironically, the same psychological loop that once fueled Bitcoin’s meteoric rise may now be what caps its potential. The halving didn’t make Bitcoin cyclical — investor behavior did . And as smart money takes over, that feedback loop may finally be breaking. 🚀 What This Might Mean for Future Bull Runs If institutions continue to dominate Bitcoin’s liquidity, the next bull runs may look less like fireworks and more like steady expansion — smoother, slower, but more sustainable. Instead of 12-month parabolas followed by multi-year winters, we could see: - Extended accumulation phases where price grinds higher over longer horizons. - More efficient corrections that reset leverage without catastrophic selloffs. - Reduced retail blow-off tops as narrative-based speculation loses power. That doesn’t mean the explosive upside is gone — it means the path to higher valuations might look more like a compound growth curve than a recurring bubble. The next phase of Bitcoin’s evolution isn’t about chasing the halving — it’s about understanding liquidity, positioning, and psychology on a global scale. - The crowd traded Bitcoin like a story. - Institutions are turning it into a system.
INDEX:BTCUSDLong
by RWCS_LTD
CLSK, Gold and implied volatility highest since 2021 - get readyDJT inflated the volatility balloon. We can see that on all asset classes. VIX(SPX) and DVOL(BTC) implied volatility shows price target of 7100pts and 144kUSD per BTC accordingly by EOY. That means that big move is ahead of us. Yesterday, there was a large profit-taking in gold and seems gold will stay relatively muted for some time. Now the question is where money from gold will go into? Also fed announced faster rate cut pace - Bonds will have much lower premium. So my expectation is that money will flow from gold and bonds market to the risk assets like SPX, emerging markets na BTC. I dont need to explain how higher BTC price will influence CLSK share price. STAY PUT ! Long, medium term CLSK is glued to BTC performance. But... daily/weekly CLSK tends to be leading indicator to BTC not BTC to CLSK like most people think. We can see it right now - Yesterday BTC was up but miners were down and today BTC is again back below 110k. That's due to much lower liquidity don't get fooled by short term moves huge bull run is ahead of us ! Not financial advice just sharing my observations and thoughts. P.S. I put money where my words are - Yesterday I bought additional ~500 shares.
NASDAQ:CLSKLong
by SentimentSurfer
How to use Candle Range Detector – Fibo-Based Volatility mapping🧠 Concept Overview The Candle Range Detector (CRD) visualizes how market volatility expands and contracts across time. Instead of using a static multiplier, it applies Fibonacci ratios (0.618, 1.0, 1.618, 2.618, etc.) to dynamically scale candle ranges, helping traders spot where price might react or exhaust. Each detected candle range forms a zone or band representing potential continuation or reversal interest areas. This adaptive approach captures market rhythm more naturally than uniform multipliers. ⸻ ⚙️ How It Works 1. Range Detection: The indicator measures the true range (high–low) of key candles and maps them forward on the chart. 2. Fibonacci Expansion Logic: Instead of a normal “x times range” multiplier, Fibonacci levels are used to project natural extensions and contractions from each candle’s body or wick. 3. Zone Formation: Each candle’s range forms a rectangular area (as shown on your chart). • Thicker Boxes: Represent strong impulsive candles or high-volume bars. • Lighter Boxes: Represent pullback or resting candles. 4. Automatic Overlap Handling: When two zones overlap, the indicator visually merges them, highlighting confluence where multiple candle ranges align — a sign of strong market memory. ⸻ 📊 How to Interpret • When price revisits a previously detected Fibonacci expansion zone, it often reacts (pause or reversal). • A cluster of zones at similar levels acts like a dynamic supply/demand region. • Breakouts beyond upper/lower Fibonacci bands may indicate trend continuation. • Tight clusters of small ranges suggest compression – potential breakout setup. ⸻ 💡 Practical Use-Cases • Identify where short-term volatility clusters before big moves. • Spot pullback re-entries aligned with prior expansion zones. • Detect imbalance areas that later act as resistance/support. • Enhance confluence with volume, VWAP, or order flow indicators. ⸻ 🧩 Customization Tips • Fib Ratios: You can select or deselect Fibonacci levels from the settings panel. Right now its set to 1.618 • Zone Opacity: Adjust transparency to visualize overlaps better. • Lookback Range: Control how many historical ranges are plotted for context. ⸻ 🏁 Summary The Candle Range Detector (Fibonacci Mode) transforms traditional range analysis into a visual map of volatility zones. By using Fibonacci expansion instead of arbitrary multipliers, it synchronizes with natural market rhythm and highlights where liquidity and volatility converge.
by TradeTechanalysis
Stop Guessing Risk — Start Measuring It Like a QuantStop deciding risk based on emotion or setup. Do what quants do. Measure volatility and let it define your risk. Most traders size positions emotionally: • "This setup looks strong, I’ll double size." • "I’m not sure, so I’ll go small." → Both are inconsistent and lead to unstable performance. Professionals and systematic traders use a simple principle: Risk is not a feeling, it’s a function of volatility. ⚙️ The concept Markets breathe in volatility cycles. When volatility expands, risk should contract. When volatility contracts, risk can expand. Your position size should adapt automatically to those cycles. This Idea demonstrates the logic behind the new 📊 Risk Recommender — (Heatmap) indicator, a tool that quantifies how much of your equity to risk at any time. 🧮 How it works The indicator offers two complementary modes: 1️⃣ Per-Trade (ATR-based) • Compares current volatility (ATR) to a long-term baseline. • When market noise increases, it suggests smaller risk per trade. • When conditions are quiet, it recommends scaling up—within your own floor and ceiling limits. 2️⃣ Annualized (Volatility Targeting) • Computes realized and forecast volatility (EWMA-style). • Adjusts your base risk so your overall exposure stays near a target annualized volatility (e.g., 20%). • The same math used in institutional risk models and CTA frameworks. 🎨 Visual interpretation The heatmap column acts as a “risk thermometer”: • 🟥 Red = High volatility → scale down • 🟩 Green = Low volatility → scale up • Smoothed and bounded between your chosen floor and ceiling risk levels. • The label shows current mode, recommended risk %, and volatility context. 💡 Why this matters Risk should *never* depend on how confident you feel about a trade. It should depend on how loud or quiet the market is. Volatility is the market’s volume knob and this indicator helps you tune your exposure to the same frequency. 📈 Example use case • NASDAQ volatility spikes → recommended risk drops from 3.0% → 1.2% • SPX volatility compresses → risk rises gradually → 4.5% You stay consistent while others overreact. 🚀 Automating it My invite-only strategy applies this logic automatically to manage exposure in real time. Combine it with the Risk Recommender indicator for full transparency and adaptive position sizing. 🎯 Summary ✅ Stop guessing risk size. ✅ Let volatility guide you. ✅ Keep risk constant, results consistent. That’s how quants survive. That’s how traders evolve. #RiskManagement #Volatility #ATR #PositionSizing #Quant #TradingStrategy #AlgorithmicTrading #SystematicTrading #Portfolio #EWMA #RiskControl
VANTAGE:NAS100Education
by Algorific
Short Volatility during rare spikes using leveraged ETF $UVXYOverview Volatility represents how greatly an asset’s prices swing around the mean price. Historically there are rarely brief volatility flare-ups that present trading opportunities. Trying to anticipate volatile events can be costly, because other market participants generally expect the same well known events, and one never knows how big a volatility spike might arise from a given event. Instead if one merely awaits extreme volatility events, which historically are ephemeral, there's a higher probability trade in shorting it. I've thought about this previously, and took the opportunity with Liberation Day to successfully short volatility. Volatility Instrument Selection Choosing an appropriate instrument can aid in the likelihood of a successful short position. Among the options CBOE:UVXY looks attractive for the trade, because it's a leveraged ETF, is highly liquid, and provides options with granular strike prices and expiration dates. Leveraged ETFs are known to decline over time due to Daily rebalancing and compounding effects Volatility drag Cost of leverage Management fees and expenses Path dependency These characteristics of leveraged ETFs provide a structural tailwind to a short position, because the instrument naturally declines over time. This phenomenon easy enough to see on a CBOE:UVXY weekly chart Moreover selection of a liquid product is prudent. At the time of writing CBOE:UVXY has an average daily volume north of $22 million dollars for the past 30 days. Trade execution Execution of the trade starts with recognition of a highly volatile event, this is both technical and discretionary. From there a trader is advised to use their preferred tactics to select entry, stop-loss and exit points. Personally I like to use chart patterns across different timeframes in tandem with Relative Strength Index, and to a lesser extent volume to identify trading setups. I use longer term charts to identify a trend, and shorter timeframe charts to determine entry and exit points. The timeframe(s) depend on the particular instrument and what the charts look like at the time of the trade. During the Liberation Day Volatility Short trade, I've been using 1W, 1D, 4H and 1H charts. The 1H chart has been suitable for entering an exiting trades. Head & Shoulders patterns have manifested both on price and momentum alongside declining volume. I've posted a couple CBOE:UVXY minds along the way. Additional Thoughts Volatility can also be used generally to anticipate moves in other asset classes, such as stocks, bonds, crypto and commodities. Using the levels from that last chart fed into successful NASDAQ:TQQQ & NASDAQ:SQQQ trades in the aftermath of Liberation Day.
CBOE:UVXYShort
by quickshiftinn
VIX: From “Calm Tension” to a ReboundWhy does a small uptick matter today… if we’ve already seen 60+ readings four times in the past 17 years? The first week of August 2025 brought back a familiar market force: volatility. The VIX, which tracks expected fluctuations in the S&P 500, jumped 21% in just a few days, rising from 17.4 to 20.37, with an intraday high of 21.9 on August 1. At first glance, the move may seem minor. But it broke through key long-term moving averages (SMA 50 and 200) and exited its recent comfort zone (14–19 pts). That alone is enough to make portfolio managers and traders pay attention again. 🔙 Historical context: when the VIX truly spiked 📅 Date 🔺 VIX intraday 🧨 Trigger Oct 1, 2008 96.40 Subprime mortgage crisis, Lehman collapse, AIG bailout Mar 2, 2020 85.47 COVID-19 global spread, border shutdowns Aug 5, 2024 65.73 Surprise Fed rate hike + overheated jobs data Apr 7, 2025 60.13 Panic over new U.S. tariffs on global partners Compared to those moments, today's VIX levels look “mild.” But the technical and macroeconomic signals suggest that volatility may be establishing a new baseline. 1. 📊 Breakdown: First week of August 2025 Weekly increase: from 17.4 → 20.37 (+21%). Technical breakout: monthly close above both the 50-day and 200-day simple moving averages (SMA 19.25 and 19.45). MACD on the monthly chart has flipped positive for the first time since March 2023. Key drivers: 🏛️ The Fed left interest rates unchanged on July 30, but two dissenting votes favored a rate cut. 👷‍♂️ Softening jobs data: July NFP came in at only +73,000 jobs (vs. +110,000 expected). 🧾 New U.S. tariffs, announced on August 1, reignited inflation concerns. 2. ⚖️ Comparing August 2025 to the August 2024 storm Factor August 2024 August 2025 (Week 1) 🔺 VIX peak 65.73 21.9 🏛️ Fed stance Surprise 25 bp rate hike Rates unchanged, internal division 👷 Labor market Hot, wage pressures Cooling down 📉 S&P 500 reaction −12% in 3 weeks Approx. −3% decline underway 💧 Market liquidity Very low (pre-market) Normal Conclusion: 2024 was a systemic shock. 2025 is more of a volatility warning sign—but one that matters for risk management. 3. 📍 Technical signals to monitor The monthly MACD just turned positive, which historically precedes sustained volatility spikes. Key short-term range: 18–22 pts. A sustained close above 22 could trigger heavy selling in high-beta stocks. Options expiration (OPEX, Aug 16) may amplify moves via gamma flows. 4. 🔮 What could move the VIX next? 📅 Date 📌 Event ⚠️ Volatility Risk Aug 14 Core CPI (July) Reading above 0.3% m/m could reignite hawkish Fed bets Aug 22–23 Jackson Hole Symposium Powell’s speech could reset the policy outlook End of Aug Q2 GDP revision Confirm whether slowdown = soft landing or stagflation 📌 Note: The VIX cannot be traded directly. Exposure is typically obtained through futures, options, or ETNs—each with specific risks like contango, low liquidity, and roll decay. 📌 Final thoughts The VIX doesn’t need to hit 60 to send a message. The fact that it’s breaking above long-term averages, reacting sharply to macro data, and threatening key levels is enough to suggest that the era of ultra-low volatility may be ending. History shows us that major VIX spikes come fast and unannounced. If you remember 2008, 2020, or even April 2025—you know that preparation beats prediction.
TVC:VIX
by SHGTrading
S&P 500 Monthly Volatility Analysis From 1893 to July 2025Most of the time, the S&P 500 is seen as a low-volatility index when compared to most individual stocks, small-cap indexes, or indexes from other countries. However, most investors don't know exactly what volatility to expect from a statistical perspective. The Risk Distribution Histogram allows us to understand exactly how risk is distributed. S&P 500 Statistical Risk Distribution Here are some highlights from what we get from the analysis. Some of this data might actually surprise investors. The data is monthly: 27% of all months have volatility under 0.68% 80% of all months' volatility was under 4.79% 5% of all months had a volatility of over 7% If we can call a volatility over 25% a severe crash or "grey" swan, we had 7 of those events 3 months with extreme volatility over 30% This allows us to understand tail risk and plan ahead. While most times the S&P 500 is in the low volatility zone, extreme events can happen. What can we learn from this? Prepare for rare but possible high-volatility events. Understand the 80/20 rule. Most months are very low volatility, but 20% of them will have a volatility higher than 5% approximately. Avoid overconfidence in stability Plan for long-term horizons. High volatility tends to "dissipate" in the long term. This is why it's important not to discard rare high-volatility events, especially when the investor is in need of liquidity. This risk analysis can be done for any ticker.
SP:SPXEducation
by HenriqueCentieiro
Why election risk means yen volatility could rise this weekThe Japanese yen remains vulnerable ahead of Japan’s Upper House election on July 20. Polls suggest the ruling LDP-Komeito coalition may lose its Upper House majority. Such an outcome would further weaken Prime Minister Shigeru Ishiba’s position, with his government already operating as a minority in the Lower House. Adding to the pressure, the U.S. is set to impose 25% tariffs on Japanese goods from August 1—part of a broader protectionist push.
by BlackBull Markets
BVOL: Volatility Compression Before the Final ExpansionThis chart might not get as much attention as BTC dominance or TOTAL, but Bitcoin volatility (BVOL) is one of the cleanest leading indicators when it comes to identifying market tops and bottoms. Just look at the history — every major macro top or bottom in BTC price has correlated with a peak or trough in this chart. Whether it was the ATH in March 2024, the October 2024 breakout, or the deep pullbacks into key lows, BVOL has nailed the timing with precision. Right now, we’re seeing volatility compressing hard — currently sitting around 13.17 — and heading into my targeted demand zone which has historically marked major inflection points. 🧠 What does this mean? Volatility this low = market indecision + positioning. It’s when liquidity gets sucked dry before a major expansion move. My expectation is: - BVOL will soon hit demand and reverse - BTC will complete its current correction - Once volatility expands again, it likely aligns with a reversal and move into new ATHs — the final bullish phase of this cycle Just like in past cycles, low volatility precedes explosive directional moves. This current compression is setting the stage — once the lid comes off, the move is usually fast and decisive. ⚠️ Watch this closely. BTC correcting into demand + BVOL hitting this low = confluence for the next trending leg. Big picture context: We’re deep into the 4-year cycle structure, with a macro top expected into Q3/Q4 2025. This setup supports the idea that after this consolidation and volatility reset, BTC could make one final leg up before distribution begins. Let the volatility tell the story — it usually whispers before it roars.
BITMEX:BVOLLong
by marshyyy
2
Average US Stock Rebounds as VIX Dies – But Who's Really WinningThe Value Line Geometric Index ( NYSE:VALUG ), representing the average US stock, has bounced hard off multi-year support, right as Trump makes global headlines for striking billion-dollar “deals” in the Middle East. But let’s call this what it is: Deregulation for aircraft, crypto, energy 🛩️💸⚡ Tariffs and restrictions on retail, green tech, and small business 🏪🌱📉 And all while sitting on personal meme coin bags worth billions. Meanwhile, volatility ( TVC:VIX ) is back to sleep, and main street stocks are climbing — but who is actually winning here?
NYSE:VALUG
by SmartSignalss
What Makes a Chart Tradable – Part TwoIn the previous post , we explored the foundations of technical trading. We examined how market behavior can appear structured even when it results from randomness, how bias affects interpretation and how volatility persistence helps explain why certain moves tend to cluster rather than appear in isolation. This post builds on that foundation by focusing on how to recognize meaningful movement and determine whether a chart structure is tradable. Technical charts often present a wide range of setups, patterns, and interpretations. But a core distinction must be made between coincidental formations and actual price behavior driven by imbalance. Not all movements are equal, and recognizing the difference between random fluctuation and purposeful structure is essential. A common assumption in technical analysis is that certain patterns or shapes inherently provide a specific outcome. This assumption is problematic without a defined context. The ability to recognize a flag or wedge does not imply statistical validity. For a price movement to be tradable, there should be characteristics that suggest underlying buying or selling pressure. Unusual Movement To determine whether a price move is meaningful, it must be assessed in relation to what is typical for that market. All assets have their own average range, pace and rhythm. When price breaks from that baseline through unusually strong or sustained movement, it can signal momentum or imbalance. What makes these moves relevant is not their size alone, but the fact that they differ from normal behavior. This kind of shift may reflect changes in supply and demand or a reaction to new information. Such movements could mark a change in behavior and can serve as reference points. Their value lies in being statistically uncommon, which may suggest that market conditions have changed. Pullbacks as Rebalance Following strong directional movement, price tends to enter a state of reversion or pause. This is known as a pullback, a controlled retracement .It is not merely a pause. It reflects a psychological reset and the temporary rebalancing of order flow in response to imbalance. Not all pullbacks are viable. For a setup to be considered tradable, the retracement must occur in the context of a meaningful prior move. When the underlying trend is intact and the pullback is controlled, the structure can offer a more reliable opportunity. The Role of Standardization Trading should be based on discretion. It involves interpretation, context and deliberate decision-making. But without structure, it risks becoming inconsistent and reactive. Therefore movement and momentum should be measurable. What appears meaningful must be evaluated relative to the asset’s own historical behavior, not assumed based on surface-level appearance. Without a reference, the evaluation may lack foundation. Measurement supports model building. Standardization supports disciplined execution. A trader might believe a move is strong based on visual cues or pattern familiarity, but if it lacks historical context or fails to meet defined criteria, that evaluation could be flawed. Framework and Models There are categories of tools that can be incorporated to support standardization. The choice is not fixed and should be based on personal preference, methods and research. Example: Volatility Measure: Could be used to confirm when price moves outside a volatility-based envelope, indicating movement beyond the average range. Momentum Measure: Could be used to confirm whether current price action is faster or stronger compared to recent historical behavior. Such models are used to define context, not to predict outcomes. They help standardize analysis and filter out questionable movements and patterns. Conclusion The textbook patterns often referenced on their own do not create edge. Tradable charts are those where meaningful movement, defined by momentum, imbalance and structure, can be observed and evaluated using standardized methods. The purpose is not precision but repeatability. Discretionary trading is built on contextual evaluation supported by consistency and objective tools.
NASDAQ:QQQEducation
by StockLeave
I SPY an opportunity to riseThe "macro" environment has an extreme bearish tone. There is a great deal of uncertainty still. So let's look to the charts to see what's the deal. Monday morning was a spill over from Trump's tantrums and we bounced at the end of the day Monday with a wick. Interesting note... big tech earnings was beginning. What a perfect time to see some rise on the charts. NFLX already had us anticipating some positive movement b/c of their Good Friday earnings. So most people were focused on the play of 1000-1100. So many people took a position. Back to SPY... Trump stated after hours after during TSLAs awful earnings call that he was not going to fire JPowell and TSLA began rallying as well as other big tech companies (interesting). The rallies held overnight. There were selloffs after the earnings, creating HL (higher lows) that held across many charts. The week proceeded and we slowly rose the rest of the week. I'm recalling that Trump initiated a 90 day pause. & though their is still negative chatter and uncertainty with the final outcome; it's enough to have bullish thoughts for the remainder of the earnings season (esp big tech and major companies) while we chop. Cautiously viewing the charts one day at a time; watching for candlestick patterns to assist with plays. If the pattern is bullish, looking for a bullish play. if the pattern is bearish, looking for a bearish play. Or... just pick a side and wait for what you connect to. My notes on candle recognition below over the next week will be below. Tootles
AMEX:SPY
by mommymiles
2
XAUUSD Volatility in Focus: Caution Advised for PullbackCurrently, I estimate that XAUUSD is nearing the end of wave iii of wave (v). I present two potential scenarios: In the black label scenario, XAUUSD may continue its upward movement to complete wave iii, with a projected target in the 3,372–3,410 range. However, under the red label scenario, there is a possibility of a short-term correction toward the 3,284–3,301 area before resuming the uptrend toward the same target zone. Traders should closely monitor price action, as increased volatility is likely in the near term.
FX_IDC:XAUUSD
by herdityawicaksana
1
Buying The Dip / Dollar Cost AveragingI recently published my first script and felt now would be a good time to share something I feel could help some people out. I have been trading since 2021 and it has been an amazing journey. Anyhow, I would consider myself a value based investor and in it for the long term. So as the market takes a dip - now is certainly the time to be buying the dip or dollar cost averaging. The way I see it, if you are going to DCA/Buy The Dip, it might be handy to have access to a tool that is slightly better than just regularly timed investments. Take a look at my indicator and let me know your thoughts. Comment, Like and Follow if you enjoy the strategy and companion indicator.
AMEX:VTILong
by chuckaschultz
4