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NIFTY- Intraday Levels - 19th August 2025** Minor levels marked on chart (marked in orange lines) this level will become strong after second half . If NIFTY sustain above 24877 above this bullish then 24997 to 25014/19/26/29/47 if it comes here it may give some profit booking trade, above this more bullish then 25137 to 25161 then wait If NIFTY sustain below 24852/45/27 below this bearish then 24757/45/33 if it comes here I think it may give some bounce from here.. below this more bearish then last hope 24685 to 24661 then wait Consider some buffer points in above levels. Please do your due diligence before trading or investment. **Disclaimer -  I am not a SEBI registered analyst or advisor. I does not represent or endorse the accuracy or reliability of any information, conversation, or content. Stock trading is inherently risky and the users agree to assume complete and full responsibility for the outcomes of all trading decisions that they make, including but not limited to loss of capital. None of these communications should be construed as an offer to buy or sell securities, nor advice to do so. The users understands and acknowledges that there is a very high risk involved in trading securities. By using this information, the user agrees that use of this information is entirely at their own risk. Thank you.
NSE:NIFTY
by PrashantTaralkar
1
Trade setup for nifty on 19/08/25Nifty may open on flat note as per SGX nifty due to subdued in global markets. A long green candle was formed in yesterday trading with upperside wick which is indicated profit booking placed at higher levels around at 25050 levels. If any positive outcome from from FED meeting nifty will reach upto 25300 in coming days. nifty can't move downside further until upto hold 24860 levels on daily closing basis. Stock of the day : MARUTI SUZUKI support levels : 24810,24740 Resistance levels : 24980,25050 Disclimer : I AM NOT A SEBI RESEARCH ANALYST OR FINANCIAL ADVISOR, these recommendations are only for education purpose, not for trading and investment purpose please take an advise from your financial advisor before investing on my recommendations. ‌🙏 : If you liked my content please suggest to your friends follow my trading channel. Your likes and comments provide boosting to me to update more financial information. Thanking you for supporting me
NSE:NIFTY
by viswanath_ktc
A dip is possible in Nifty but will be Buyable So just like we expected a sharp move, it came in the form of a big Gap Up today. But as I had mentioned, sellers volume was heavier than buyers, and that clearly reflected – NSE:NIFTY slipped from the day high and even closed below the open. Because of today’s Gap Up, the Pivot distance has widened and is now at 24917. Pivot percentile is 0.16%. Today’s candle is a squat one, but buyers volume is still higher than sellers by over 37 million. And like I said earlier, a shakeout was clearly visible on the chart and ideally, a sharp move should have come after that. But the opposite happened. Which makes me believe that the shakeout is still pending. Second thing, after breaking 24470 support, Nifty should have taken the next support around 24200, but without taking support it just moved up. So in short, a dip is still possible. My view: A pullback with a bullish undertone. Meaning Nifty may see some dip, but individual stocks can still perform well. For this week, Nifty support is 24650 and resistance is 25000. NSE:BANKNIFTY also has a pending shakeout. Support is at 55360. But we are seeing some traction in PSU and private banks. Talking about sectors – #Auto and #Cement look good technically. Keep an eye there. My recent trades performance: 1. HEROMOTOCO +5.86% 2. UNOMINDA +6.13% 3. NSE:MARUTI fresh high with +8.75% upside 4. NSE:HYUNDAI +8.15% 5. DMART +4.58% That’s all for today. Take care and have a profitable tomorrow.
NSE:NIFTYShort
by Trendxinc
Head and shoulders pattern in NiftyThe head and shoulders pattern is a technical analysis chart pattern used in trading to predict potential reversals in price trends. It’s primarily a bearish reversal pattern that appears after an uptrend, signaling that the price may soon decline. In the NIFTY The pattern forms during an established uptrend, where prices are consistently making higher highs and higher lows from 07 April,2025 Left Shoulder: The price rises to a peak (a high) and then declines to a support level (a low), forming the first shoulder.( NEAR 25147-25253) Head: The price rises again, surpassing the left shoulder’s high, reaching the highest point (the head), and then declines back to a similar support level as the left shoulder.(NEAR 25670) Right Shoulder: The price rises once more but fails to reach the head’s high, forming a lower peak (the right shoulder), and then declines again. (NEAR 25100-25250) Neckline: The line connecting the lows of the left shoulder, head, and right shoulder acts as a support level. It can be horizontal, sloped upward, or sloped downward, depending on the price action.( NEAR 24300) Breakout Confirmation The pattern is confirmed when the price breaks below the neckline after forming the right shoulder in a bearish head and shoulders pattern. This breakout signals that the uptrend is reversing into a downtrend. So, I expect a good bearish move end of the week.
NSE:NIFTY
by askbiswanath2025
1
Nifty_Idea day_1Overview Month :- I have seen on Monthly chart that after a continuation of 4 month just for month price has trades at a lower prices. And in current month, it has broken the previous month low. Week :- Chart prices has traded down for 6 week, previous week is a rising week, In current week it has taken out the high of previous 3 week. >> Price is trading at the overbought region at 1.62% of the previous week range. Daily :- On daily Chart it has broken the trend line that was their, plus momentum has shifted to positive. Idea. If we can see on past Monday Gap up day, we can clearly see that prices has been either in very small range or Price traded down to Monday low. >>> Sign of down moves. 1) Price is overbought, 2) Thier is a gap. 3) On Monday based on past data prices has traded down. >>> Sign of up move. 1)Price action plus the momentum has shifted to upward. 2) Prices is trading down for 6 week it can go up to test the 50% region as in past it is a good resistance level. 3) If we can note the range of the week we can see that the ATR is close to 550.
NSE:NIFTY
by hritwikanmol045
3
Nifty AnalysisThis is Nifty Analysis for Tuesday 19th Aug 2025. Nifty opened Gap Up and moved up by 1% on Monday due to the new events (GST, Rating Upgrade). Nifty formed a red candle but has higher high and higher Low formation. It is above short term EMAs in Daily timeframe. These 2 strategies may work best for Tuesday. Trade Strategy 1: (Higher Probability) Enter Long position (Call Option) after retracement confirmation around 61.8% of recent swing - around 24,810. Stoploss just below last Tuesday Low 24,700. Target 1 previous day high 25,020. This gives 1 is to 2 risk reward ratio. Target 2 around 25,100. This gives 1 is to 2.5 risk reward ratio. Trade Strategy 2: (Lower Probability) Enter Short position (Put Option) after bearish confirmation candles around 24,700 . Stoploss just above 24,750. Target 1 till Tuesday Gap Up filling around 24,500. This gives 1 is to 2.25 risk reward ratio. Safe traders may consider Trailing Stoploss after 1 is to 1 risk reward ratio is achieved. Note: This is for educational purposes only and not a trade recommendation. I am not SEBI registered. Kindly do your own research before doing any financial transaction.
NSE:NIFTYLong
by arima_trader
1
Survive the Market, Keep the Flame AliveThere was once a candle burning in a dark room. Every night, the darkness surrounded it. The candle felt small, almost useless, compared to the never-ending black. But it kept burning. At first, the candle thought it had to fight the darkness. It wanted to shine stronger, to push the darkness away. But then it realised something important, darkness never goes away. It will always be there. The candle could not win against the dark. Its only job was to survive the night. Even with a small flame, it could give enough light to walk, to see, to keep hope alive. Over time, the candle understood: strength was not about fighting. Strength was about lasting. Trading is very similar. The market is like the darkness. It is huge, unpredictable, and does not care what you want. You cannot control it. Your job as a trader is not to fight the market. Your job is to protect your flame, your money, your patience, your discipline. The traders who last are not the ones chasing big profits every day. They are the ones who protect themselves, who stay calm, and who last long enough to see opportunities. This game is not about controlling the market. It is about controlling yourself. Good trading is not exciting. It is simple, repetitive, and sometimes boring. But boring is safe. And safe is what keeps your flame alive. Wins will come. Losses will come. Neither will destroy you if your flame is protected. Ask yourself: Can you protect your money on bad days? Can you accept small losses without fear? Can you stay patient when nothing is happening? The market will always be uncertain. The darkness will always be there. But if you can keep your light burning, the morning will come.
NSE:NIFTYEducation
by TraderRahulPal
6
Option Trading 1. Introduction – What are Options? Imagine you want to buy a house, but you are not fully sure. The seller says: “You can pay me ₹1 lakh today as a token, and within the next 3 months you have the right (not obligation) to buy this house for ₹50 lakh. If you don’t buy, I will keep your ₹1 lakh.” 👉 That token money is exactly like an option premium. If house prices shoot up to ₹60 lakh, you can buy it at ₹50 lakh (huge profit). If prices fall to ₹40 lakh, you don’t buy, and you only lose ₹1 lakh. This is the essence of options trading: Right but not obligation to buy/sell at a fixed price within a fixed time. Limited loss (premium paid). Unlimited potential profit. In stock markets, instead of houses, you deal with shares, indexes, or commodities. 2. How Options Work Options are part of the derivatives market (value is derived from something else). Underlying asset: Could be NIFTY, Bank NIFTY, Reliance stock, Gold, etc. Strike price: Pre-decided price at which you may buy/sell. Expiry: Fixed date (weekly/monthly). Premium: Price you pay to buy the option. Options are of two main types: Call Option (CE) → Right to buy at a fixed price. Put Option (PE) → Right to sell at a fixed price.
NSE:NIFTYEducation
by SkyTradingZone
4
Nifty Market Structure Analysis & Trade Plan: 19th August🔎 Market Structure Analysis – Nifty 4H Chart Trend Context: Nifty has broken out of the falling channel and is now testing supply around 24,950 – 25,000. Resistance Zone: 24,950 – 25,050 (today’s rejection confirms sellers active). Support Zone: 24,650 – 24,700 (former breakout zone, now retest possible). Bias: Neutral-to-Bullish as long as 24,650 holds. Below that, momentum weakens. 1H Chart Price Action: Rejected from 25,000, now consolidating just above 24,850. Support 1: 24,850 immediate (short-term demand). Support 2: 24,700 (critical breakout level). Resistance: 25,000 first barrier, next at 25,300. Bias: Short-term retracement unless demand at 24,850 holds strong. 15m Chart Intraday Flow: Breakdown from 25,000 supply, retracing towards 24,850 – 24,800. Momentum: Sellers in control intraday, but broader trend still constructive if higher lows sustain above 24,650. 📌 Trade Plan for Tomorrow – Nifty Long Setup (Buy side bias) Entry Zone: 24,650 – 24,700 support retest. Trigger: Bullish reversal candle / rejection wick near support. Targets: T1: 24,950 (retest of today’s high) T2: 25,200 (next supply) Stop Loss: Below 24,600. Short Setup (Sell side bias) Entry Zone: 24,950 – 25,000 supply rejection. Trigger: Bearish engulfing / rejection candle. Targets: T1: 24,800 T2: 24,650 Stop Loss: Above 25,050. 🎯 Key Levels to Watch Resistance: 25,000 → 25,300 Support: 24,850 → 24,700 → 24,400 👉 In simple terms: If 24,650 holds, expect a bounce back towards 25,000 – 25,200. If 24,650 breaks, sellers may drag it back to 24,400.
NSE:NIFTYLong
by BhardwajVipin
Psychology of Trading in the AI EraIntroduction Trading has always been a game of numbers, patterns, and probabilities—but at its heart, it has always been a game of human psychology. From the floor traders of the 1980s to the retail traders of today clicking buy and sell on their mobile apps, emotions like fear, greed, hope, and regret have consistently shaped market behavior. However, we are now living in an era where artificial intelligence (AI) is no longer just an experimental tool but a daily companion in the trading world. Advanced algorithms, neural networks, sentiment analysis engines, and automated bots can scan millions of data points, process global news in milliseconds, and predict price movements with uncanny accuracy. This raises critical questions: How does the presence of AI change human trading psychology? Do traders still rely on instincts, or are they surrendering to machines? What emotional challenges arise when humans compete against algorithms? In this essay, we will explore these dimensions in depth, examining how trading psychology is being reshaped by AI, what new biases are emerging, and how traders can adapt their mindset to thrive in this new era. 1. The Foundations of Trading Psychology Before diving into AI’s impact, let us revisit the basics of trading psychology. Historically, traders have always battled with three core emotions: Fear – The fear of losing money, missing out on opportunities (FOMO), or getting left behind. Greed – The desire for outsized gains, which often pushes traders to take irrational risks. Hope & Regret – Holding onto losing trades out of hope they’ll recover, or regretting missed opportunities. These emotions create well-known cognitive biases: Confirmation bias (seeking data that supports an existing view). Overconfidence bias (believing one’s strategy is infallible). Loss aversion (feeling losses more intensely than equivalent gains). Herd mentality (following what the majority is doing). The battle against these psychological forces defined much of traditional trading education: building discipline, sticking to rules, and detaching emotionally. 2. How AI is Changing the Trading Landscape With AI, trading is no longer just human versus human—it’s human versus machine or sometimes human alongside machine. Some key shifts AI has introduced include: Algorithmic trading: High-frequency trading (HFT) algorithms execute thousands of trades in microseconds, leaving humans behind in speed and efficiency. AI-powered analysis: Machine learning models now forecast trends using complex data like satellite imagery, social media sentiment, or even weather patterns. Robo-advisors & bots: Retail traders use AI-driven bots to automate their strategies, removing much of the manual decision-making. Predictive analytics: Platforms suggest when to enter or exit trades, almost acting as "psychological crutches" for traders. This technological revolution is not just changing markets—it’s fundamentally altering the psychological environment of trading. 3. New Psychological Challenges in the AI Era a) The “Human vs. Machine” Anxiety Traders often feel they are competing against soulless algorithms that can predict moves faster than they can blink. This creates a psychological inferiority complex, leading some to second-guess their strategies, abandon intuition, or feel powerless. b) Over-Reliance on AI Paradoxically, some traders swing to the opposite extreme: they blindly trust AI recommendations. This leads to automation bias, where traders follow machine-generated signals without applying critical thinking. When the AI is wrong, it can result in catastrophic losses. c) Information Overload AI tools generate massive amounts of insights—charts, predictions, probability scores. Traders often become overwhelmed by data, leading to analysis paralysis, where fear of making the wrong choice prevents timely action. d) Emotional Detachment vs. Overconfidence On one hand, automation can help remove emotions from decision-making. On the other, traders may become overconfident, believing that access to AI gives them a guaranteed edge, only to be humbled by market uncertainty. e) Fear of Missing Out (FOMO) on Tech Many traders worry: “If I’m not using AI, I’ll be left behind.” This tech-driven FOMO fuels constant subscription purchases of new tools, often without mastering them. 4. The Double-Edged Sword of AI in Trading Psychology AI is neither a pure blessing nor a curse—it’s a double-edged sword. Benefits for Trading Psychology: Reduced emotional bias: Automated execution can prevent impulsive trades. Increased discipline: AI-enforced rules help traders stick to strategies. Faster learning: AI backtesting and simulations accelerate experience-gathering. Confidence boost: Access to predictive models reduces uncertainty. Risks for Trading Psychology: Dependency risk: Traders may lose the ability to make independent decisions. Blame-shifting: Traders might avoid responsibility, blaming AI for losses. Skill erosion: Over time, traders may neglect learning fundamentals. Complacency: Believing AI always wins can dull risk management instincts. Thus, AI reshapes psychology in both empowering and weakening ways, depending on how it is used. 5. Case Studies: Psychological Shifts in AI Trading Case 1: Retail Trader with AI Bots A beginner trader using a pre-built AI bot on their brokerage platform may feel confident and relaxed—until the bot hits a losing streak. At that point, panic sets in, and the trader either over-tweaks the system or abandons it entirely, exposing their underlying lack of psychological resilience. Case 2: Professional Trader in AI-Dominated Markets Institutional traders face the constant stress of competing with AI-powered hedge funds. This creates performance pressure, leading to burnout and decision fatigue, even when the trader’s strategy is fundamentally sound. Case 3: Hybrid Human-AI Collaboration Some traders use AI purely for signal generation but maintain human discretion for execution. This balance tends to foster psychological confidence, as traders feel supported but not fully dependent on AI. 6. Emerging Cognitive Biases in the AI Era Beyond traditional biases, new AI-driven psychological traps are emerging: Automation bias – Blind trust in AI recommendations. Algorithm aversion – Distrust of AI after seeing a single failure. Techno-FOMO – Constantly chasing the latest AI tool. Data illusion – Believing more data = better decisions, even if irrelevant. Delegated responsibility bias – Blaming AI instead of accepting accountability. Traders must recognize these new biases to navigate the modern environment effectively. 7. Building a Healthy Trading Psychology in the AI Era a) Use AI as a Tool, Not a Master AI should augment, not replace, human judgment. Think of it as a co-pilot, not the pilot. b) Maintain Emotional Awareness Even with automation, emotions still influence decision-making (e.g., when to override AI, when to switch tools). Traders must practice mindfulness, journaling, or stress-management techniques. c) Focus on Process, Not Just Outcomes AI can make mistakes. Traders who anchor their psychology on process discipline (risk management, journaling, position sizing) rather than profits remain more stable. d) Embrace Continuous Learning Instead of blindly trusting AI, traders should understand at least the basics of how their tools work. Knowledge reduces both overconfidence and fear of failure. e) Develop “AI Literacy” The psychological edge in the AI era comes from understanding both the strengths and weaknesses of AI models, such as overfitting, reliance on historical data, and vulnerability to black swan events. 8. The Future: Psychology of AI-Integrated Markets As AI continues to evolve, the psychology of trading will move in three directions: Greater Human-AI Synergy – Traders who adapt psychologically to work with AI, not against it, will thrive. New Emotional Battles – Future challenges may include fear of AI dominance, distrust after algorithmic crashes, and identity crises for human traders. Shift in Market Behavior – If most trades are AI-driven, human psychology may play out more in meta-layers (how humans react to AI-driven moves, rather than direct price action). Conclusion The psychology of trading in the AI era is not about eliminating human emotions—it is about redefining the relationship between human psychology and machine intelligence. AI is a powerful ally that can reduce emotional mistakes, enforce discipline, and accelerate learning. Yet it also introduces new psychological challenges: dependency, overconfidence, data overload, and fear of irrelevance. Ultimately, successful traders in the AI era will be those who cultivate self-awareness, emotional discipline, and AI literacy, striking the right balance between human intuition and machine precision. Trading has always been 80% psychology and 20% strategy. In the AI era, that ratio still holds true—only now, the psychology involves not just markets, but our relationship with intelligent machines.
NSE:NIFTYEducation
by TechnicalExpress
4
NIFTY Levels for Today Here are the NIFTY's Levels for intraday (in the image below) today. Based on market movement, these levels can act as support, resistance or both. Please consider these levels only if there is movement in index and 15m candle sustains at the given levels. The SL (Stop loss) for each BUY trade should be the previous RED candle below the given level. Similarly, the SL (Stop loss) for each SELL trade should be the previous GREEN candle above the given level. Note: This idea and these levels are only for learning and educational purpose. Your likes and boosts gives us motivation for continued learning and support.
NSE:NIFTY
by RainingMoneywithTech
1