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Part 2 Intraday Trading Master Class1. Option Buyer (Call Buyer or Put Buyer) Pays premium. Risk is limited to the premium paid. Profit is unlimited (Call) or large (Put). 2. Option Seller/Writer (Call Writer or Put Writer) Receives premium. Risk can be unlimited (Call writer). Profit is limited to the premium received. 3. Retail Traders Most common segment in options. 4. Institutional Traders (FIIs, DIIs) They use options for hedging and arbitrage with high capital.
NSE:INFYEducation
by SkyTradingZone
Part 1 Intraday Trading Master Class How Option Pricing Works Option prices (premiums) depend on multiple factors: 1. Underlying Price Movement Biggest factor. CE rises when market rises. PE rises when market falls. 2. Time to Expiry (Theta) As expiry approaches, options lose value due to time decay. Buyers suffer from theta. Sellers benefit from theta. 3. Volatility (Vega) Higher volatility = higher premiums. 4. Demand–Supply and Market Sentiment Aggressive buying or selling changes premium rapidly.
NASDAQ:AMZNEducation
by SkyTradingZone
Strong uptrend intact, consolidating near highs w bullish structKEI continues to trade in a strong uptrend and is currently consolidating near the highs after the recent move. Price is holding above key moving averages, indicating strength and buyer support on dips. The current consolidation zone looks healthy and suggests a pause before the next move rather than distribution. As long as price holds above the support zone, the overall structure remains bullish. Levels to watch: • Support: 4,300–4,350 • Upside potential on breakout above consolidation zone Overall, KEI remains well placed technically, especially from a medium-term perspective, with no major signs of trend weakness yet.
NSE:KEILong
by mithuna_m
is BEL is getting ready for breakout?🔹 Timeframe: Daily 🔹 Trend Bias: Bullish Price is moving near a key resistance zone on the daily chart -Clear horizontal resistance tested multiple times -Higher lows indicating accumulation -Price holding above short & medium EMAs 🎯 What to Watch: -Daily close above resistance for breakout confirmation -Volume expansion on the breakout candle Possible Targets once resistance break target1: 440 target2: 450 Educational idea only. Not financial advice. Always manage risk.
NSE:BELLong
by TheSriyaTrading
Tremendous FALL and RECOVERY of LMT on News & Sentiments1st News - Donald Trump said that he would not permit dividends or stock buybacks for U.S. defense companies until they fix military equipment production and delivery issues. - Now it is required to understand that dividends are payouts to shareholders out of profits - Generally, when dividends are not paid, the company uses the retained fund in its development, research, investing, etc. But what's the matter? Why is he not allowing defense companies to pay dividends to their shareholders?? - Basically, he is criticizing the defense industry for prioritizing shareholder payouts over investing in factories, R&D, and faster production of military equipment. - He also suggested capping executive pay until those issues are resolved. Impact: The stock prices of LMT fell 7% during the regular trading hours upon the ban on shareholders' payout -------------------------------------------------------------------------------------------------------------- 2nd News President Trump announced that he is determined to increase the US Military budget to $1.5 trillion in 2027 due to “tremendous” tariff revenue. This would be a near 70% increase from 2025 levels. Impact: Later, in the extended trading hours, prices recovered substantially, rising ~8.30% on the announcement of a hike in the defense budget
NYSE:LMTEducation
by tanmay_agrawal
Nifty Sideways Uptrend 1 HR Timeframe Nifty is currently in a sideways-to-uptrend structure on the 1-hour timeframe. Price is hovering near an important zone which can act as either a breakout or a reversal point. The next upside and downside levels are clearly marked on the chart for reference. A sustained move above resistance can open further upside, while rejection from this zone may lead to a pullback toward support. Watch price action closely around these levels for confirmation before taking trades.
NSE:NIFTY
by Madhumitha_Prabhu
1
Part 12 Trading Master Class Key Terminologies in Option Trading 1. Strike Price The price at which the buyer can exercise the option. 2. Premium The cost paid by the option buyer to the seller for the contract. 3. Expiry The date when the option contract expires (weekly/monthly). 4. In-the-Money (ITM) When the option has intrinsic value. CE is ITM if underlying > strike. PE is ITM if underlying < strike. 5. Out-of-the-Money (OTM) When the option has no intrinsic value. CE is OTM if underlying < strike. PE is OTM if underlying > strike. 6. Lot Size Options trade in fixed quantities called lots (e.g., NIFTY lot size = 50).
NSE:RELIANCEEducation
by SkyTradingZone
RVNL 1 Week Time Frame 📍 Current Status (as of latest market data): RVNL trading around ₹356–₹360 on NSE/BSE. 📈 Key Levels for this Week (Intraday / Swing) 🔹 Resistance Levels 1. ₹369‑₹373 — Immediate resistance zone where short‑term counter may face selling pressure. 2. ₹377‑₹380 — Higher resistance; a breakout above this could signal short‑term bullish continuation. 🔻 Support Levels 1. ₹362‑₹357 — First support; holds short‑term pullbacks intraday. 2. ₹354‑₹350 — Deeper support — breach of this could see more downside. 3. ₹345‑₹340 — Strong support zone seen from recent chart structures (near 50DMA and consolidation). 📊 What This Means for the Next Week ✅ Bullish scenario If RVNL closes above ₹373‑₹377 on daily closes, momentum could push towards ₹385‑₹395 in the coming sessions (momentum breakout). Sustained buying and above‑average volumes would strengthen upside bias. ❌ Bearish scenario A breakdown below ₹350‑₹345 could lead to a slide to ₹330‑₹325, where longer‑term support zones lie. Daily closes below ₹350 increases the chances of deeper correction. ⚡ Neutral / Consolidation If price stays between ₹350–₹373, expect sideways range‑bound trade before a clearer breakout direction. 🧠 Traders’ Focus This Week ✔ Watch daily closing levels above resistance / supports. ✔ Breakouts with higher volumes matter more than intraday spikes. ✔ Stop losses below the strong support zones (e.g., ~₹345) if positioning long.
NSE:RVNLLong
by Knowledgehub
UNIONBANK 1 Week Time Frame 📊 Current Price Snapshot UNION Bank of India (NSE: UNIONBANK) is trading around ₹162–₹165+ in the market currently. 📈 Weekly Time‑Frame Levels (Pivot / Support / Resistance) 📌 These weekly pivots & S/R levels are based on established pivot calculations for weekly charts: 🔹 Pivot & Resistance Levels Weekly Pivot (Central reference): ~₹153.97 Weekly Resistance 1 (R1): ~₹159.83 Weekly Resistance 2 (R2): ~₹162.95 Weekly Resistance 3 (R3): ~₹168.81 🔻 Weekly Support Levels Weekly Support 1 (S1): ~₹150.85 Weekly Support 2 (S2): ~₹144.99 Weekly Support 3 (S3): ~₹141.87 📌 Interpretation (Weekly Chart Bias) 🔹 Bullish Signposts ✔ Price above weekly pivot ~₹153.97 = positive short‑term bias. ✔ Immediate upside zone between ₹159.8–₹163 — break above this can extend to ₹168+. 🔻 Bearish / Correction Signals ✖ Loss of weekly pivot ~₹153.97 with close below can turn momentum negative. ✖ Deeper support cluster near ₹145–₹142 — watch these zones for possible bounce points. 📌 Summary Weekly Levels (Quick Reference) Level Type Price (Approx) R3 (Weekly) ₹168.8 R2 (Weekly) ₹162.9 R1 (Weekly) ₹159.8 Pivot (Weekly) ₹153.9 S1 (Weekly) ₹150.8 S2 (Weekly) ₹144.9 S3 (Weekly) ₹141.8 (All levels approximate — based on recent pivot calculations and current market data.)
NSE:UNIONBANKLong
by Knowledgehub
REDINGTON 1 Week Time Frame 📌 Weekly Pivot‑Based Levels (from Moneycontrol weekly pivots) (These are derived from weekly price action, giving support & resistance zones used by chart traders) Resistance (Weekly) R1: ~ ₹282.77 R2: ~ ₹289.23 R3: ~ ₹300.12 Pivot (Weekly Reference): Pivot Point: ~ ₹271.88 Support (Weekly) S1: ~ ₹265.42 S2: ~ ₹254.53 S3: ~ ₹248.07 📊 Interpretation: Above ₹282–₹289 zone → broader weekly bullish bias if sustained toward ₹300+. Below ₹265–₹271 pivot/support zone → weekly downside risk increases. 📊 Current Price Reference NSE live price is trading around ~ ₹289–₹290+ on 8 Jan 2026. 📊 Summary – Key Weekly Levels to Watch Level Price (Approx) Significance Weekly Resistance 3 (R3) ₹300.12 Bullish breakout region Weekly Resistance 2 (R2) ₹289.23 Near current price – short‑term hurdle Weekly Resistance 1 (R1) ₹282.77 First weekly resistance Weekly Pivot ₹271.88 Trend reference – bulls above Weekly Support 1 (S1) ₹265.42 Key downside support Weekly Support 2 (S2) ₹254.53 Deeper support Weekly Support 3 (S3) ₹248.07 Extended downside support 📌 Bullish weekly bias is intact as long as price stays above the weekly pivot (~₹271‑₹272) and clears ₹282‑₹289 convincingly. Below ₹265, the next support zone becomes active.
NSE:REDINGTONLong
by Knowledgehub
HCLTECH 1 Month Time Frame 📌 Current Price Snapshot Approx. live share price: ₹1,640–₹1,650 range on NSE today. 📅 1‑Month Price Context Over the past month, HCLTECH has generally traded between roughly ₹1,590 – ₹1,680 before recent moves. 📊 Key 1‑Month Technical Levels 🔹 Immediate Support Levels These are short‑term levels where price may find buying interest: S1: ~₹1,620 S2: ~₹1,605 S3: ~₹1,592 (support levels from pivot analysis) Additional support areas if price falls further: ~₹1,580–₹1,570 (psychological region and recent consolidation area) 🔺 Immediate Resistance Levels These are short‑term levels where price may face selling pressure: R1: ~₹1,647–₹1,650 R2: ~₹1,660 R3: ~₹1,670–₹1,675 (pivot‑based resistance zones) If bulls push higher: ~₹1,690–₹1,700 is a possible zone of next resistance before bigger range tests. 📈 Trend & Moving Averages (1‑Month) 20 DMA: ~₹1,659 50 DMA: ~₹1,610 100 DMA: ~₹1,536 200 DMA: ~₹1,564 (latest moving averages reflect neutral‑to‑bullish alignment with price above most SMAs) 📌 How to Use These Levels Bullish scenario: If HCLTECH sustains above ₹1,650–₹1,660, the next resistance to watch is ₹1,675–₹1,700, and potential testing of recent broader highs. Bearish scenario: If it breaks below ₹1,592–₹1,580, short‑term support weakens and price could drift toward ₹1,550–₹1,570.
NSE:HCLTECHLong
by Knowledgehub
$ETH Dailly Chart Update On 6th Jan, we shared a detailed update on #ETH highlighting the daily triangle structure and clearly warned that price was approaching the upper trendline, where rejection was highly possible. The plan was simple and disciplined: don’t chase near resistance, wait for confirmation. #Ethereum moved into the 3300–3350 zone, tested the upper boundary of the triangle, and faced a clean rejection. There was no daily close above resistance, no acceptance — sellers defended the level exactly as expected. After the rejection at 3300, price is now moving down to kiss the lower support zones . This is a critical area. We now need to see whether support holds or breaks. Resistance: 3300–3350 (upper trendline) Support zone: 3050(horizontal) – 3000 (triangle lower trendline) Breakdown risk: Below 2900–2850 Upside only if: Daily close & hold above 3300
Short
by CryptoSatRed
Part 11 Trading Master ClassWhat Are Options? Options are financial contracts that derive their value from an underlying asset such as: A stock (e.g., Reliance) An index (e.g., NIFTY 50) A commodity (e.g., Gold) A currency pair Options are called derivatives because their price derives from the underlying market. There are two types of options: 1. Call Option (CE) A Call Option gives the buyer the right to buy the underlying asset at a fixed price (strike price) before expiry. Buyers expect price to rise. Sellers (writers) expect price to stay below strike. 2. Put Option (PE) A Put Option gives the buyer the right to sell the underlying asset at a strike price before expiry. Buyers expect price to fall. Sellers expect price to stay above strike.
NSE:AXISBANKEducation
by SkyTradingZone
NETWEB 1 Day Time Frame 📌 Current Price (Approx) NETWEB ~ ₹3,347–₹3,368 on NSE (latest market price) — this is the recent traded range as markets open/continue today. 📊 Daily Technical Levels (1-Day Chart) Pivot Point (Key Reference) Pivot: ₹3,335–₹3,359 area — central decision zone for bulls vs bears. 🔥 Resistance Levels (Upside) 1. R1: ₹3,436–₹3,437 — first resistance zone. 2. R2: ₹3,525–₹3,526 — next upside hurdle. 3. R3: ₹3,626–₹3,627 — extended breakout target. 📉 Support Levels (Downside) 1. S1: ₹3,246–₹3,247 — immediate support. 2. S2: ₹3,145–₹3,145 — intermediate support line. 3. S3: ₹3,056–₹3,056 — deep support level. 📌 How to Use These Levels Today Bullish bias: If price stays above pivot (~₹3,350) and breaks R1 ~₹3,436, next targets are R2 and R3. Bearish bias: If price drops below S1 (~₹3,246), watch S2 and S3 for possible pullbacks/support zones. 📊 Short-Term Technical Mood Pivot levels suggest an active trading range today — traders often use these references for intraday entry/exit. RSI/MACD short-term signals are mixed to neutral, indicating a balanced fight between bulls and bears (not strongly overbought nor oversold on daily).
NSE:NETWEBLong
by Knowledgehub
ITC 1 Day Time Frame 📌 Current Price Context (approx): ITC is trading around ₹340–₹342 on the NSE — near recent multi-year lows (52-week low ~₹337.75). 📊 Daily Pivot / Support & Resistance Levels (Based on Recent Technical Data) 📈 Pivot Reference Since live pivot recalculation varies by platform, here’s a reliable contemporary pivot zone used by many traders around this range: Pivot (reference level): ~₹349.90 🚧 Resistance Levels (Upside) R1: ~₹353.75 R2: ~₹357.80 R3: ~₹361.65 These levels are based on the latest intraday pivot analysis and represent potential upside hurdles if price attempts a bounce. 🛡 Support Levels (Downside) S1: ~₹345.85 S2: ~₹342.00 S3: ~₹337.95 These supports coincide closely with the recent 52-week low area and nearby price action where demand may re-emerge. 📉 Typical Daily Trading Range (Indicative) Immediate Range for Today: ~₹337.9 — ₹361.6 (approx) This zone gives a sense of where daily swings might play out before breakout/breakdown action. 📌 What This Means for Traders 📍 Above pivot / R1 (₹353-₹355): Bullish attempt; could push toward R2/R3 if volume supports. 📍 Between support range (₹342-₹346): Choppy / consolidation zone — watch for breakout direction. 📍 Below S2 (~₹342): Bearish pressure; if price dips below ~₹338, sellers may dominate short term.
NSE:ITCLong
by Knowledgehub
LongKey Points About Strategy 1. Identify breakouts using recent pivot highs and lows. 2. For entry or exit, wait for the candle to close above or below the given level; do not wait for the target. 3. Obey the risk–reward ratio strictly. 4. Do not create positions that you cannot manage, and avoid taking multiple positions beyond your capacity. 5. You cannot predict the market in advance—news, results, or corporate actions don’t matter. Essential Disclaimer: For education only—this is not financial advice. Always research and consult a licensed advisor. All trades are your responsibility; I am not liable for any outcomes.
NSE:PGELLong
by AhmedabadTradebulls
Nifty 50 1 Day Time Frame 📌 Live Current Level (Intraday) 📊 Nifty 50 ~ 26,030 – 26,040 and trading lower amid selling pressure this session. 📊 Daily Price Action • Today’s intraday range: ~26,025 (low) to ~26,133 (high). • Recent session momentum continues weak with external macro pressure (tariff worries & outflows). Reuters 🔍 1-Day Technical Levels (Daily Chart) These levels are widely used by traders for support / resistance / pivots on the daily timeframe: 📈 Resistance (Upside) 1. ~26,240 – 26,300: near-term supply zone & intraday resistance. 2. ~26,350: strong resistance above psychological 26,300 level. 📉 Support (Downside) 1. ~26,050 – 26,100: first line of defense (20-period SMA/DEMA support zone). 2. ~25,800 – 25,900: secondary support — holding here avoids deeper breakdown. 📊 Pivot Levels (Indicative) (Classic daily pivot calculations from technical feeds) • Daily Pivot Point: ~26,132 – Pivot acts as intraday reference. • R1: ~26,195–26,200 • R2: ~26,250–26,300 • S1: ~26,076–26,080 • S2: ~26,012–25,950 (These pivot points are from live technical data.) 📈 Summary — What This Means Today ✅ Bullish above: 26,300–26,350 breakout confirms short-term buying. ⚠️ Neutral/Range: 26,050–26,300 — likely sideways action. ❌ Bearish below: 26,050 — risk of extending weakness toward 25,900/25,800.
NSE:NIFTYLong
by Knowledgehub
XAUUSD – Bullish wave structure intact, awaiting wave 4.Gold is moving within a clear 5-wave bullish structure, where: Wave 1 → Wave 3 have already completed with strong impulsive momentum. Price is currently in the corrective phase of Wave 4, which is technical in nature and not a trend reversal. Wave 5 to the upside is still expected once downside liquidity absorption is completed. Key Structure & Technical Context The H1 trend remains bullish as long as the key swing low below is not broken. The current pullback is corrective; no bearish CHoCH has been confirmed. The lower Demand zone aligns with the rising trendline + Fibonacci levels + GAP, creating a high-probability reaction area. Preferred Trading Plan (MMF Style) 🔵Primary Scenario – Trend-Following BUY BUY zone: 4,398 – 4,350 This is a strong confluence area (Demand + trendline + GAP). Only execute buys after clear price reaction and structure holding. Avoid FOMO entries in the middle of the range. Targets: TP1: 4,444 TP2: 4,496 TP3: 4,534 Alternative Scenario: If price does not pull back to the lower zone and instead breaks and holds above 4,496, wait for a retest to continue buying with the trend. 🔵Invalidation If an H1 candle closes below 4,350, invalidate the BUY bias and wait for a new structure to form. 🔵Summary: The broader bullish wave structure remains valid. The current decline is a Wave 4 correction, and patience is key to positioning for a potential Wave 5 continuation from discounted levels.
OANDA:XAUUSDShort
by MMFlowTrading
The $XRP has formed a clear double-bottom pattern The CRYPTOCAP:XRP has formed a clear double-bottom pattern following a prolonged intraday downtrend. The aggressive sell pressure has clearly slowed, and buyers are now defending the lows around 2.15–2.16, which is a positive shift in short-term structure. This is no longer a panic zone — it’s a reaction zone. What the chart is telling us Strong downtrend → loss of momentum Two clear rejection wicks at the same demand zone (Bottom 1 & Bottom 2) Price attempting to reclaim the short-term range high near 2.18–2.19 If bulls manage acceptance above this range, we could see a relief move. 🔼 Upside scenario A sustained move above 2.19 opens the door toward: 2.23 → 2.26 Extension possible if momentum flips quickly 🔽 Downside risk Failure to hold 2.15 would invalidate the base and expose: 2.12 → 2.08 liquidity zones
Short
by CryptoSatRed
How Smart Money Dominates Financial Markets Institutional Trading Strategies: Institutional trading strategies refer to the methods and frameworks used by large financial entities such as banks, hedge funds, mutual funds, pension funds, insurance companies, and proprietary trading firms. These institutions control massive capital, sophisticated technology, and deep market access, allowing them to influence price movements and market structure itself. Unlike retail traders, institutional participants focus on scalability, risk-adjusted returns, liquidity management, and long-term consistency rather than short-term excitement. Understanding institutional trading strategies provides valuable insight into how markets truly operate and why prices move the way they do. At the core of institutional trading is capital preservation and steady growth. Institutions are not trying to double money overnight; instead, they aim to generate predictable returns while minimizing volatility and drawdowns. Every strategy is built around strict risk controls, diversification, and disciplined execution. This mindset alone separates institutional traders from most retail participants. Market Structure and Order Flow Focus One of the most critical aspects of institutional trading is the understanding of market structure. Institutions study how price moves between areas of liquidity, such as previous highs, lows, support, resistance, and high-volume zones. Since large orders cannot be executed instantly without affecting price, institutions break trades into smaller chunks and execute them strategically around liquidity pools. Order flow analysis plays a major role here. Institutions track where buy and sell orders are accumulating and position themselves accordingly. Instead of chasing price, they wait for liquidity to come to them. This is why markets often move sharply after consolidations—liquidity is collected before the real move begins. Accumulation and Distribution Strategies Institutions operate through accumulation and distribution phases. During accumulation, large players quietly build positions at favorable prices without alerting the market. This often appears as sideways price action with low volatility. Retail traders frequently lose patience during these phases, unaware that institutions are preparing for a significant move. Once accumulation is complete, institutions push the price higher (or lower in bearish scenarios) to distribute their positions. Distribution typically happens during high volatility, news events, or strong trending moves, where retail participation increases. By the time retail traders enter aggressively, institutions are often reducing or exiting positions. Trend-Following and Position Trading Many institutions rely heavily on trend-following strategies, especially in equities, commodities, and currencies. These strategies are based on the idea that strong trends tend to persist due to macroeconomic forces, capital flows, and investor behavior. Institutions enter trends early using technical and fundamental confirmations and hold positions for weeks, months, or even years. Position trading allows institutions to avoid noise and short-term fluctuations. They use tools like moving averages, market structure breaks, macroeconomic data, and sector rotation analysis to stay aligned with dominant trends. Risk is managed through portfolio diversification rather than tight stop-losses alone. Mean Reversion and Statistical Arbitrage Another powerful institutional approach is mean reversion, which assumes that prices tend to revert to their historical averages over time. Institutions identify overbought or oversold conditions using statistical models, volatility measures, and historical price behavior. These strategies are often automated and executed across hundreds or thousands of instruments simultaneously. Statistical arbitrage takes this concept further by exploiting pricing inefficiencies between correlated assets. For example, if two historically correlated stocks diverge abnormally, institutions may short the overperformer and buy the underperformer, expecting convergence. These strategies rely heavily on data, probability, and mathematical precision rather than market prediction. High-Frequency and Algorithmic Trading Large institutions deploy algorithmic trading systems to execute trades efficiently and minimize market impact. Algorithms determine optimal entry points, execution speed, order size, and timing. High-frequency trading (HFT) firms operate on extremely short timeframes, profiting from tiny price discrepancies repeated thousands of times per day. While retail traders cannot compete directly in this space, understanding algorithmic behavior helps explain sudden price spikes, liquidity gaps, and rapid reversals. These movements are often liquidity-driven rather than sentiment-driven. Risk Management as the Foundation Risk management is the backbone of all institutional trading strategies. Institutions define risk before entering any trade. Position sizing is calculated based on portfolio exposure, volatility, and correlation with other holdings. Losses are accepted as part of the business, but they are controlled and planned. Institutions rarely risk more than a small percentage of their capital on a single idea. Hedging is also widely used, employing derivatives such as options and futures to protect portfolios against adverse movements. This disciplined approach ensures survival during unfavorable market conditions. Fundamental and Macro-Based Strategies Many institutional traders integrate fundamental analysis into their decision-making. This includes studying interest rates, inflation, central bank policies, earnings reports, geopolitical developments, and economic cycles. Macro-driven strategies aim to capture large, long-term moves driven by shifts in global capital flows. For example, a change in monetary policy can influence currency trends, bond yields, and equity valuations simultaneously. Institutions position themselves across multiple asset classes to benefit from these macroeconomic shifts. Psychology and Patience Institutional traders operate with extreme patience. They wait for ideal conditions, execute with precision, and allow trades to develop naturally. Emotional decision-making is minimized through systems, rules, and team-based oversight. This psychological stability gives institutions a significant edge over emotional retail traders. They also understand that being inactive is a strategic choice. Not trading is often more profitable than forcing trades in uncertain conditions. Lessons Retail Traders Can Learn Retail traders cannot replicate institutional resources, but they can adopt institutional principles. Focusing on market structure, liquidity, risk management, patience, and disciplined execution can dramatically improve trading performance. Avoiding impulsive trades and aligning with higher time-frame trends brings retail behavior closer to professional standards. Conclusion Institutional trading strategies are built on structure, discipline, data, and long-term thinking. Institutions succeed not because they predict markets perfectly, but because they manage risk effectively, understand liquidity dynamics, and operate with patience and precision. By studying how institutional traders think and act, individual traders can gain a deeper understanding of market behavior and significantly improve their own trading approach.
NSE:M&MEducation
by TechnicalExpress