Private and Public Banks: Their Role in Trading1. Understanding Private and Public Banks
1.1 Public Banks
Definition: Banks owned or majorly controlled by governments.
Examples: State Bank of India (SBI), Bank of Baroda, Punjab National Bank, and international giants like China Development Bank or Germany’s KfW.
Role: Support trade finance, infrastructure, and developmental goals while also operating commercially.
Trust Factor: Often seen as safer due to government backing.
1.2 Private Banks
Definition: Banks owned by private individuals or institutions, focused on maximizing profits.
Examples: HDFC Bank, ICICI Bank, Axis Bank, JPMorgan Chase, Goldman Sachs, HSBC (though HSBC has mixed ownership).
Role: More aggressive in expanding into global markets, offering innovative trading products, and catering to high-net-worth individuals and corporates.
2. Banking as a Foundation for Trading
Both types of banks serve as pillars of the trading ecosystem. Their activities include:
Providing Liquidity: Banks buy and sell financial instruments, ensuring markets don’t dry up.
Market Making: Many large banks act as intermediaries in forex and derivatives trading.
Credit Access: Traders and corporations rely on bank credit to fund positions.
Clearing & Settlement: Banks ensure smooth processing of trades through clearinghouses.
Risk Management: Offering hedging tools, swaps, options, and forward contracts.
3. Role of Public Banks in Trading
Public banks play a dual role: stabilizing markets while also enabling participation in global trading.
3.1 Trade Finance
Provide letters of credit (LCs) and bank guarantees for exporters/importers.
Ensure trust in international trade transactions.
3.2 Forex Market Interventions
Act on behalf of central banks to stabilize currency markets.
Support importers by ensuring adequate foreign exchange availability.
3.3 Developmental Trading Role
Encourage financing of essential commodities (oil, wheat, fertilizers).
Maintain food and energy security through commodity trade funding.
3.4 Example: State Bank of India (SBI)
India’s largest public bank actively supports exporters through concessional finance.
Plays a key role in rupee-dollar trade settlement, enhancing India’s presence in global forex.
3.5 Strengths of Public Banks in Trading
Government backing ensures trust and credibility.
Ability to fund large-scale infrastructure trading projects.
Acts as a stabilizer during financial crises.
4. Role of Private Banks in Trading
Private banks are more aggressive and profit-oriented, often setting trends in trading innovations.
4.1 Active Participation in Global Markets
Private banks like JPMorgan, Goldman Sachs, Barclays are market leaders in forex, commodities, and equity trading.
Operate investment banking arms specializing in derivatives, structured products, and electronic trading platforms.
4.2 Wealth Management and Private Banking Services
Offer exclusive access to equity trading, hedge funds, and forex products for wealthy clients.
Provide advisory services to optimize portfolio exposure to global markets.
4.3 Technological Edge
Private banks are pioneers in algorithmic trading and high-frequency trading (HFT).
Platforms like HDFC Securities, ICICI Direct offer retail access to stock markets.
4.4 Example: Goldman Sachs
Dominates derivatives and commodities markets.
Provides structured financing deals for corporations to hedge against risks.
4.5 Strengths of Private Banks in Trading
Innovation-driven, offering sophisticated trading products.
Higher efficiency and faster adoption of fintech.
Wider global presence compared to many public banks.
5. Comparative Roles of Public vs Private Banks in Trading
Aspect Public Banks Private Banks
Ownership Government Private shareholders
Risk Appetite Conservative, stability-driven Aggressive, profit-driven
Innovation Moderate High (HFT, derivatives, fintech)
Global Trading Role Primarily support trade finance and forex Market leaders in derivatives, equities, commodities
Trust Factor Strong due to state backing Strong brand but vulnerable in crises
Client Base Mass market, corporates, governments High-net-worth individuals, institutions, corporates
6. Contribution to Different Types of Trading
6.1 Equity Trading
Public Banks: Generally less active in proprietary equity trading but support retail and institutional participation.
Private Banks: Major global equity traders, offering brokerage, research, and portfolio management.
6.2 Forex Trading
Public Banks: Assist central banks in intervention and stabilize exchange rates.
Private Banks: Global market makers, driving trillions of dollars in daily forex transactions.
6.3 Commodity Trading
Public Banks: Finance essential imports like crude oil and food grains.
Private Banks: Dominate speculative trading in oil, gold, and agricultural futures.
6.4 Derivatives & Structured Products
Public Banks: Use derivatives mainly for hedging national interests.
Private Banks: Innovate complex structured products, options, swaps, and exotic derivatives.
7. Challenges Faced by Public and Private Banks in Trading
7.1 Public Banks
Political interference in lending and trade financing.
Slower adoption of new technologies.
Higher burden of non-performing assets (NPAs).
7.2 Private Banks
Higher exposure to speculative risks.
Vulnerable to global financial shocks (e.g., Lehman Brothers collapse).
Criticism for prioritizing profit over public interest.
8. The Changing Landscape: Fintech and Digital Trading
Both public and private banks are facing disruption from fintechs:
Digital trading apps (Zerodha, Robinhood, Groww) are reducing dependency on banks for stock trading.
Still, banks remain indispensable for clearing, settlement, large-scale financing, and providing credibility.
Public banks are slowly catching up with digitization, while private banks continue to push boundaries with AI-driven trading systems.
Conclusion
The roles of public and private banks in trading are complementary rather than competitive. Public banks provide stability, credibility, and developmental support, while private banks bring innovation, speed, and global connectivity. Together, they form the backbone of the international trading ecosystem.
As trading becomes more globalized, technology-driven, and interconnected, both public and private banks will need to adapt rapidly. The future will likely see a hybrid financial system where state-backed security and private sector innovation coexist to shape the world of trading.
Harmonic Patterns
Relative Strength Index (RSI) in Trading1. Introduction to RSI
The financial markets operate on the constant tug-of-war between buyers and sellers. Traders have long sought tools to identify when markets are likely to reverse or continue trending. Among the most widely used technical indicators is the Relative Strength Index (RSI), a momentum oscillator developed to measure the speed and magnitude of recent price movements.
The RSI is not just a number; it’s a psychological mirror of the market, showing when traders may be overenthusiastic (overbought) or overly fearful (oversold). Since its introduction in 1978 by J. Welles Wilder Jr., RSI has become a cornerstone of technical analysis, used by retail traders, institutional investors, and even algorithmic systems across stocks, forex, commodities, and crypto.
2. History & Origin of RSI
RSI was introduced in Wilder’s famous book “New Concepts in Technical Trading Systems” (1978), alongside other indicators like the Average True Range (ATR) and Parabolic SAR. Wilder, a mechanical engineer turned trader, believed in quantifying market psychology.
Before RSI, momentum indicators existed, but they lacked a standardized scale. Wilder’s breakthrough was normalizing momentum into a range between 0 and 100, making it universally applicable and easier to interpret. Over time, RSI’s simplicity and adaptability allowed it to transcend asset classes, from Dow Jones stocks in the 80s to Bitcoin and Ethereum today.
3. Mathematical Formula & Calculation
The RSI formula is:
𝑅
𝑆
𝐼
=
100
−
(
100
1
+
𝑅
𝑆
)
RSI=100−(
1+RS
100
)
Where:
RS (Relative Strength) = Average Gain / Average Loss (over a set period, usually 14)
Steps:
Calculate the average of “up closes” and “down closes” for 14 periods.
Divide average gain by average loss = RS.
Plug RS into the RSI formula to scale between 0–100.
Example:
Average Gain = 1.5%
Average Loss = 0.75%
RS = 1.5 / 0.75 = 2
RSI = 100 – = 66.6
Thus, RSI = 67 indicates bullish momentum but not yet overbought.
4. Understanding RSI Levels
Above 70 → Overbought (possible correction)
Below 30 → Oversold (possible rebound)
Around 50 → Neutral (balance between buyers & sellers)
Some traders adjust:
80/20 levels for stronger trends
60/40 levels in trending markets (RSI may not touch extremes often)
RSI levels act as zones of probability, not absolute buy/sell signals.
5. RSI in Different Market Conditions
Trending Markets: RSI can remain overbought (>70) or oversold (<30) for extended periods. For example, in strong bull runs, RSI may hover around 70–80.
Ranging Markets: RSI oscillates smoothly between 30 and 70, making it excellent for mean-reversion strategies.
Volatile Markets: RSI signals can be whipsawed, requiring filters like moving averages or multiple timeframe confirmations.
6. RSI Trading Strategies
a) Overbought & Oversold Strategy
Buy when RSI < 30 (oversold) and price shows reversal.
Sell when RSI > 70 (overbought) and reversal signs appear.
Works best in sideways markets.
b) Divergence Strategy
Bullish Divergence: Price makes lower lows, RSI makes higher lows → reversal likely upward.
Bearish Divergence: Price makes higher highs, RSI makes lower highs → reversal likely downward.
c) RSI Swing Rejections
A method Wilder emphasized:
Bullish: RSI goes below 30, bounces back, rejects a second drop, then crosses above previous high.
Bearish: RSI goes above 70, falls, rejects second rise, then breaks lower.
d) RSI Trendlines & Breakouts
Traders draw trendlines on RSI itself, treating it like a price chart. Breakouts often lead price action.
e) RSI + Moving Averages
Use RSI to confirm MA crossovers. Example: RSI > 50 when 50-day MA crosses above 200-day MA strengthens bullish trend.
7. RSI for Different Timeframes
Intraday/Scalping (1–5 min): RSI is very sensitive. Traders use shorter settings (7-period RSI).
Swing Trading (1D–1W): Classic 14-period RSI works well. Divergences are powerful.
Long-Term Investing (1M): RSI identifies market cycles; buying when RSI < 30 on monthly charts often captures generational opportunities.
8. Combining RSI with Other Indicators
a) RSI + MACD
MACD confirms trend direction; RSI signals entry/exit.
Example: MACD bullish crossover + RSI near 40–50 = strong buy signal.
b) RSI + Bollinger Bands
RSI overbought + price at upper band → higher reversal probability.
RSI oversold + price at lower band → bounce likely.
c) RSI + Volume Profile
High volume at RSI extremes confirms stronger reversals.
d) RSI + Moving Averages
RSI trending above 50 while price is above MA = bullish confirmation.
Conclusion
The Relative Strength Index (RSI) remains one of the most effective momentum oscillators in trading history. From J. Welles Wilder’s manual calculations in the 70s to modern-day algorithmic applications, RSI has proven its adaptability.
Its power lies not in blindly buying at 30 or selling at 70, but in understanding context, divergences, swing rejections, and market psychology. While it has limitations in trending markets, when combined with other tools, RSI becomes a formidable ally.
For traders, RSI is more than a number. It’s a window into collective human behavior, showing how emotion, momentum, and probability interact to move markets. Whether you’re day-trading forex, swing-trading stocks, or investing in crypto, RSI remains a timeless guide to navigating uncertainty.
HAL: Demand Zone Bounce & Supply Test – September 2025 HAL has shown a strong V-shape recovery from the marked demand zone, breaking above its recent pivot base and approaching resistance near 4800. Currently, price is testing a major supply zone after an extended period of consolidation near all-time highs. Key levels to watch include 4566 (EMA zone), 4528 (support), and 4745 (current price). Further momentum will depend on sustained buying above these zones, while any rejection can lead to a retest of demand. This analysis highlights major zones, moving averages, and momentum shifts relevant for September 2025 market acti
TATA Tech Bullish View From Here Here’s a clear breakdown of **Tata Technologies’ business model**:
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## **Tata Technologies Business Model**
Tata Technologies Limited (TTL) is a global engineering and product development digital services company, part of the Tata Group. Its business model is centered around **engineering, digital transformation, and education services**, serving manufacturing companies—mainly in **automotive, aerospace, and industrial machinery** sectors.
### **1. Core Revenue Streams**
* **Engineering & Research and Development (ER\&D):**
* Offers product design, development, and innovation solutions.
* Works with global automotive OEMs and tier-1 suppliers to design vehicles, components, and systems.
* Provides support in aerospace and industrial equipment design.
* **Digital Enterprise Solutions (DES):**
* Provides IT-enabled solutions like ERP, PLM (Product Lifecycle Management), and digital manufacturing.
* Helps companies digitize supply chains, operations, and product lifecycle processes.
* **Education Business:**
* Offers training programs in engineering, design, and digital skills.
* Partners with governments and institutions to upskill engineers and students.
---
### **2. Client Segments**
* **Automotive OEMs & Tier-1 suppliers** (largest revenue share).
* **Aerospace companies** for design and digital support.
* **Industrial heavy machinery & manufacturing clients.**
* **Educational institutions & governments** for training services.
---
### **3. Value Proposition**
* End-to-end engineering services from concept to production.
* Accelerates digital transformation for manufacturers.
* Cost-efficient outsourcing partner for global OEMs.
* Upskilling workforce through education programs.
---
### **4. Geographical Presence**
* Strong presence in **India, Europe, North America, and Asia-Pacific**.
* Works with global auto majors like **Jaguar Land Rover, Honda, Airbus, and others**.
---
### **5. Key Partnerships & Differentiation**
* Part of **Tata Group**—trusted global brand.
* Strategic collaborations with software companies like **Siemens, Dassault Systèmes, and PTC**.
* Focus on **EV (Electric Vehicle)** engineering, digital manufacturing, and sustainability solutions.
---
### **6. Revenue Model**
* **Service-based billing:** Time & material, project-based, and managed services.
* **Licensing and support:** From enterprise software and PLM solutions.
* **Training fees:** From education and skill development programs.
---
✅ **In short:** Tata Technologies runs a **service-driven business model**—providing engineering R\&D, digital transformation solutions, and skill development programs, mainly for automotive and manufacturing companies, while leveraging Tata’s global brand trust.
---
Thanks & Regards
#Nifty Weekly Analysis 15-09-25 to 19-09-25#Nifty Weekly Analysis 15-09-25 to 19-09-25
25185-25250 is the PRZ area which will act as a resistance for next week.
24780 is the support for next week. Option sellers can consider the above range.
Trending move only if nifty sustains above 25250, Targets are 24480/24650.
If nifty slips below 24950, more downside possible and targets are 24880/24780.
View: Sideways to bullish.
BDL Harmonic Pattern, Demand Zone & Trend AnalysisThis daily chart of BDL highlights a completed bullish harmonic pattern converging with a strong demand zone between ₹1,480–₹1,510. The recent reversal from the Potential Reversal Zone (PRZ) and the overlap with the nonlinear base signal accumulation, while the confluence of 21/50 EMA suggests short-term support. Key resistance lies near ₹1,580; a break above may extend the upmove, while failure to hold ₹1,485 could invalidate the bullish setup. This chart is intended for educational and technical analysis purposes only.
BEML Harmonic Setup: Breakout Above Resistance & Fib Projection BEML has triggered a strong breakout above a key resistance trendline, supported by a recent pocket pivot. The chart highlights an advanced harmonic pattern with clear A-B-C-D structure, aligning with Fibonacci projection levels at 5,250 and 5,566. Watch for sustained momentum above moving averages and monitor price action near the 1.141 and 1.272 fib extensions for further target validation. The confluence of technical signals suggests strong upside potential if levels hold, with recent volume and pivot activity adding conviction to the move.
Watch for gold prices: Pressure is building in the 3650-3660 ranWatch for gold prices: Pressure is building in the 3650-3660 range.
The gold market is currently being influenced by both bullish and bearish factors. On the one hand, inflation is showing strong resilience, while on the other, the job market is showing clear signs of weakness.
Market expectations for a Fed rate cut remain firm.
The probability of a 25 basis point rate cut is as high as 91%.
Trump's tough rhetoric toward Russia and Europe, as well as escalating tensions in the Middle East, have increased market uncertainty.
In-depth Technical Analysis:
1: Gold has entered a consolidation phase after reaching a record high, facing short-term directional analysis.
2: The daily chart remains extremely overbought.
3: The lack of further declines on Wednesday suggests that the pullback is a normal correction after a significant rebound.
Even if the market peaks, it won't be that simple. It will at least experience a period of "high-level fluctuations turning bearish" or "a secondary rebound, enticing investors to buy before the decline."
4: The current consolidation may be a preparation for further upward momentum or a significant correction.
5: Upward Resistance:
Short-term focus: $3643-3653-3674; subsequently, focus on the psychological level of $3700.
Downward Support:
Short-term support lies in the $3620-3615 area; key support lies at $3600.
6: Two possible scenarios for the next phase of the trend:
Optimistic Scenario: Gold prices hold the $3615 support level and rise again after the Fed's rate cut, testing $3700 or even higher.
Cautious Scenario: Gold prices will first fall back to the $3550-3600 area for consolidation, digesting recent gains before seeking upward movement.
Today's Strategy:
SELL: 3650-3660
SL: 3672
TP: 3640-3630-3615--3600
BUY: 3635-3640 (Aggressive)
SL: 3630
TP: 3650-3660-3670+
BUY: 3610-3620 (Conservative)
SL: 3600
TP: 3630-3640-3650-3660+
KPIT Technologies – Support, Resistance & Breakout ProjectionReasoning
The stock has corrected significantly (from its highs) and is seen by some analysts to be forming technical reversal signs.
A support zone around ₹1,178 is considered strong; it has held recently after pulling back.
A breakout above ₹1,420 is seen as critical by some for pushing toward higher targets.
On the fundamentals side, KPIT is seen as well-positioned in the automotive / mobility / electric / AI / embedded software space, which is expected to drive growth.
Margins, revenue growth near term are mixed: in latest quarter, revenue grew ~12-13% YoY, but net profit was down due to factors like currency fluctuations.
Risk Factors / What Could Go Wrong
Failing to break above critical resistance levels (e.g. ~₹1,420) could lead to renewed downside pressure.
If macro / global automotive demand weakens, or input costs (salary, software, etc.) rise sharply, margin compression is possible.
Currency volatility already showed some impact.
Execution risk: Integration of new technologies (EV, connected/autonomous, AI) requires investment; delays or competition may hurt.
KPITTECH Technical Projection
Key Levels
Immediate Support: ₹1,180-₹1,200 (recent strong base; multiple analysts highlighted ~₹1,178 as key).
Secondary Support: ₹1,100 (if correction deepens).
Immediate Resistance: ₹1,350 (short-term hurdle).
Major Resistance: ₹1,420 (critical breakout zone; above this, big momentum expected).
Medium-term Target Resistance: ₹1,500-₹1,550.
1. Bullish Case (most likely, if sustains above ₹1,200 & breaks ₹1,420):
Short term (2-4 weeks): ₹1,350-₹1,400
Medium term (2-3 months): ₹1,500-₹1,550
Long term (6-12 months): ₹1,600-₹1,650+ (aligns with high analyst targets)
2. Neutral / Range-bound:
If price trades between ₹1,200 and ₹1,350, it may consolidate before the next breakout.
Swing traders can buy near support and book profit near ₹1,350.
3. Bearish Case (if closes below ₹1,180):
Downside to ₹1,100-₹1,120 is possible.
Break below ₹1,100 could extend correction toward ₹1,050.
Trading Approach
Entry Zone: ₹1,220-₹1,250 (if it sustains above ₹1,200 support).
Stop-Loss (SL): ₹1,175 (below major support).
Target (Short term): ₹1,350, then trail SL to ₹1,250 for higher targets.
Risk/Reward: ~1:2 or better if played for ₹1,500+
Disclaimer: lnkd.in
RELIANCE 1D Time frame🔢 Current Level
Trading around ₹1,395
🔑 Key Resistance & Support Levels
Resistance Zones:
~ ₹1,400 – ₹1,410 (near-term resistance)
~ ₹1,420 – ₹1,430 (stronger resistance above)
Support Zones:
~ ₹1,380 – ₹1,370 (first support)
~ ₹1,360 – ₹1,350 (secondary support)
📉 Outlook
Bullish Scenario: Holding above ₹1,400 could push price toward ₹1,420 – ₹1,430.
Bearish Scenario: A fall below ₹1,370 may drag it toward ₹1,350 or lower.
Neutral / Range: Likely to trade between ₹1,370 – ₹1,420 until a breakout or breakdown occurs.
BAJFINANCE 1D Time frame🔢 Current Level
Trading near ₹1,003
🔑 Key Resistance & Support Levels
Resistance Zones:
~ ₹1,020 – ₹1,030 (immediate resistance)
~ ₹1,050 – ₹1,070 (stronger resistance above)
Support Zones:
~ ₹980 – ₹970 (first support)
~ ₹950 – ₹940 (secondary support)
~ ₹920 – ₹900 (deeper support if selling pressure builds)
📉 Outlook
Bullish Scenario: Sustaining above ₹1,000 may drive price toward ₹1,020 – ₹1,070.
Bearish Scenario: A break below ₹980 can drag it toward ₹950 or even ₹920.
Neutral / Range: Likely sideways between ₹980 – ₹1,030 until a breakout.
INFY 1D Time frame🔢 Current Level
Trading near ₹1,525.60
🔑 Key Resistance & Support Levels
Resistance Zones:
~ ₹1,539 – ₹1,552 (near-term resistance)
~ ₹1,560 – ₹1,570 (stronger resistance if price moves higher)
Support Zones:
~ ₹1,510 – ₹1,500 (immediate support)
~ ₹1,470 – ₹1,450 (secondary support)
~ ₹1,380 – ₹1,400 (deeper support if selling pressure builds)
📉 Outlook
Bullish Scenario: A close above ₹1,540 could fuel momentum toward ₹1,560+.
Bearish Scenario: If it slips below ₹1,510, risk opens toward ₹1,470 or even ₹1,400.
Neutral / Range: Likely sideways between ₹1,510 – ₹1,552 until a breakout.
HDFCBANK 1D Time frame🔢 Current Level
Trading around ₹967
🔑 Key Resistance & Support Levels
Resistance Zones:
~ ₹970 – ₹975 (near-term resistance)
~ ₹980 – ₹985 (stronger resistance zone if it moves past the first)
Support Zones:
~ ₹962 – ₹960 (immediate support)
~ ₹955 – ₹950 (short-term support)
~ ₹945 – ₹940 (deeper support if price falls further)
📉 Outlook
Bullish Scenario: If HDFCBANK holds above ₹970 and clears resistance around ₹975, it may aim for ₹980+.
Bearish Scenario: If it drops below ₹960, it could test support in the ₹950-₹940 region.
Neutral / Range: Likely to trade sideways between ₹960-₹975 unless there’s a strong breakout or breakdown.
BANKNIFTY 1D Time frame🔢 Current Level
Trading near ₹54,809
🔑 Key Resistance & Support Levels
Resistance Zones:
~ ₹55,000 – ₹55,200 (immediate resistance)
~ ₹55,500 – ₹55,700 (stronger resistance above)
Support Zones:
~ ₹54,500 – ₹54,600 (first support)
~ ₹54,200 – ₹54,300 (secondary support)
~ ₹53,800 – ₹54,000 (deeper support if selling extends)
📉 Outlook
Bullish Scenario: A close above ₹55,000 may trigger momentum toward ₹55,500+.
Bearish Scenario: A slip below ₹54,500 could drag price toward ₹54,200 or even ₹53,800.
Neutral / Range: Between ₹54,500 – ₹55,200, sideways movement likely until a breakout.
Part 7 Trading Master Class Why Traders Use Options
Hedging – Protect portfolio against price swings.
Speculation – Bet on future price movements with smaller capital.
Income Generation – Sell options and earn premiums.
Arbitrage – Exploit mispricing between spot and derivatives.
Options Pricing Models
Two main models:
Black-Scholes Model: Uses volatility, strike, expiry, and interest rates to price options.
Binomial Model: Breaks time into steps, considering probability of price moves.
Factors affecting option prices:
Spot price of underlying
Strike price
Time to expiry
Volatility
Interest rates
Dividends
Strategies in Option Trading
Options allow creation of custom payoff structures. Strategies are classified as:
A. Protective Strategies
Protective Put – Holding stock + buying put (like insurance).
Covered Call – Holding stock + selling call.
B. Income Strategies
Iron Condor – Selling OTM call & put, buying further OTM options.
Strangle/Straddle Selling – Profit from time decay when market is range-bound.
C. Speculative Strategies
Long Straddle – Buy ATM call + put, profit from big moves.
Bull Call Spread – Buy lower strike call, sell higher strike call.
Bear Put Spread – Buy higher strike put, sell lower strike put.
📊 Each strategy has its risk/reward profile. Professional traders combine them depending on market conditions.
Part 6 Learn Institutional Trading Call & Put Options Explained
At the heart of option trading are two instruments: Calls and Puts.
Call Option: Gives the buyer the right (not obligation) to buy the asset at the strike price.
Buyers expect prices to rise.
Sellers (writers) expect prices to stay flat or fall.
Put Option: Gives the buyer the right (not obligation) to sell the asset at the strike price.
Buyers expect prices to fall.
Sellers expect prices to stay flat or rise.
📌 Example:
If Reliance stock trades at ₹2500:
A ₹2600 call may cost ₹50 premium. If the stock rises to ₹2700, profit = (2700-2600-50) = ₹50 per share.
A ₹2400 put may cost ₹40. If stock falls to ₹2200, profit = (2400-2200-40) = ₹160 per share.
Key Concepts
Intrinsic Value: Real profit if exercised immediately.
Time Value: Premium paid for potential future movement.
In-the-Money (ITM): Option already profitable if exercised.
Out-of-the-Money (OTM): Option has no intrinsic value, only time value.
At-the-Money (ATM): Strike = current market price.
WIPRO 1D Time frame🔢 Current Level
Trading around ₹252.91
🔑 Key Resistance & Support Levels
Resistance Zones:
₹254.00 – ₹255.00 (recent highs; breakout above this may lead to further upside)
₹260.00 – ₹262.00 (stronger resistance above)
Support Zones:
₹250.00 – ₹251.00 (immediate support; failure to hold above this may lead to a decline)
₹245.00 – ₹246.00 (short-term support; a break below this could indicate weakness)
₹240.00 – ₹242.00 (deeper support zone if price dips further)
📉 Outlook
Bullish Scenario: If Wipro holds above ₹251.00, upward momentum may continue. Break above ₹255.00 can open the way toward ₹260.00+.
Bearish Scenario: If it falls below ₹245.00, risk increases toward ₹240.00 – ₹242.00.
Neutral / Range: Between ₹251.00 – ₹255.00, Wipro may consolidate before a directional move.
SBIN 1D Time frame🔢 Current Level
Trading around ₹823.65
🔑 Key Resistance & Support Levels
Resistance Zones:
₹825.00 – ₹830.00 (recent highs; breakout above this may lead to further upside)
₹835.00 – ₹840.00 (stronger resistance above)
Support Zones:
₹815.00 – ₹820.00 (immediate support; failure to hold above this may lead to a decline)
₹810.00 – ₹815.00 (short-term support; a break below this could indicate weakness)
₹800.00 – ₹805.00 (deeper support zone if price dips further)
📉 Outlook
Bullish Scenario: If SBIN holds above ₹820.00, upward momentum may continue. Break above ₹830.00 can open the way toward ₹840.00+.
Bearish Scenario: If it falls below ₹800.00, risk increases toward ₹790.00 – ₹795.00.
Neutral / Range: Between ₹820.00 – ₹830.00, SBIN may consolidate before a directional move.
HDFCBANK 1D Time frame🔢 Current Level
Trading around ₹966 – ₹968
🔑 Key Support & Resistance Levels
Resistance Zones:
~ ₹973 – ₹975 (near-term resistance)
~ ₹980 – ₹985 (stronger resistance if price crosses above the earlier zone)
Support Zones:
~ ₹962 – ₹960 (immediate support)
~ ₹955 – ₹953 (lower support if downward pressure continues)
📉 Outlook
Bullish Scenario: Holding above ₹960-₹962 may push price toward ₹973-₹975, and a breakout above that can lead to ₹980-₹985.
Bearish Scenario: Falling below ₹955 may increase downside risk toward deeper supports.
Neutral / Range Zone: Between ₹960-₹975, likely sideways consolidation until a breakout happens.
RELIANCE 1D Time frame🔢 Current Level
Trading around ₹1,393 - ₹1,395
🔑 Key Resistance & Support Levels
Resistance Zones:
~ ₹1,400 – ₹1,431 (immediate resistance band)
~ ₹1,440 – ₹1,460 (higher resistance if momentum continues)
Support Zones:
~ ₹1,380 – ₹1,370 (short-term support)
~ ₹1,360 (important support below)
📉 Outlook
Bullish Scenario: Holding above ₹1,400 and breaking past ₹1,431 can open the path toward ₹1,440–₹1,460.
Bearish Scenario: A fall below ₹1,370–₹1,360 increases risk of deeper decline.
Neutral / Range: Between ₹1,360–₹1,431, Reliance may move sideways until a clear breakout happens.
TVSMOTOR 1D Time frame🔢 Current Level
Trading around ₹3,490 – ₹3,526
🔑 Key Resistance & Support Levels
Resistance Zones:
₹3,550 – ₹3,556 (near-term resistance; breakout above this may lead to further upside)
₹3,600 (psychological resistance)
₹3,650 (stronger resistance above)
Support Zones:
₹3,510 – ₹3,520 (immediate support; failure to hold above this may lead to a decline)
₹3,480 – ₹3,490 (short-term support; a break below this could indicate weakness)
₹3,400 – ₹3,450 (deeper support zone if price dips further)
📉 Outlook
Bullish Scenario: If TVS Motor holds above ₹3,520, upward momentum may continue. Break above ₹3,556 can open the way toward ₹3,600+.
Bearish Scenario: If it falls below ₹3,480, risk increases toward ₹3,400 – ₹3,450.
Neutral / Range: Between ₹3,520 – ₹3,556, TVS Motor may consolidate before a directional move.
MARUTI 1D Time frame🔢 Current Level
Trading around ₹15,318 – ₹15,325
🔑 Key Resistance & Support Levels
Resistance Zones:
₹15,373 – ₹15,384 (recent highs; breakout above this may lead to further upside)
₹15,400 (psychological resistance)
₹15,500 (stronger resistance above)
Support Zones:
₹15,150 – ₹15,160 (immediate support; failure to hold above this may lead to a decline)
₹15,050 – ₹15,100 (short-term support; a break below this could indicate weakness)
₹14,800 – ₹14,900 (deeper support zone if price dips further)
📉 Outlook
Bullish Scenario: If Maruti Suzuki holds above ₹15,160, upward momentum may continue. Break above ₹15,384 can open the way toward ₹15,500+.
Bearish Scenario: If it falls below ₹15,050, risk increases toward ₹14,800 – ₹14,900.
Neutral / Range: Between ₹15,160 – ₹15,384, Maruti Suzuki may consolidate before a directional move.
RELIANCE 1D Time frame🔢 Current Level
Trading around ₹1,391.50 - ₹1,395.50
🔑 Key Resistance & Support Levels
Resistance Zones:
₹1,396 – ₹1,400 (recent highs; breakout above this may lead to further upside)
₹1,420 – ₹1,430 (stronger resistance above)
Support Zones:
₹1,380 – ₹1,385 (immediate support; failure to hold above this may lead to a decline)
₹1,370 – ₹1,375 (short-term support; a break below this could indicate weakness)
₹1,350 – ₹1,360 (deeper support zone if price dips further)
📉 Outlook
Bullish Scenario: If Reliance Industries holds above ₹1,385, upward momentum may continue. Break above ₹1,400 can open the way toward ₹1,420+.
Bearish Scenario: If it falls below ₹1,370, risk increases toward ₹1,350 – ₹1,360.
Neutral / Range: Between ₹1,385 – ₹1,400, Reliance Industries may consolidate before a directional move.