Crudeoil make or break levelAs indicated in chart crudeoil can give minimum 1:2 or three RR ratio ,plan accordingly after breakout or rejection . I wil plan for sell side ,let us observe what will happen
Disclaimer: it is only for education purpose
WS1! trade ideas
BIG MOVECrude Oil
Look at crude oil daily chart. Big move will come, either bullish or bearish. Observe two trend lines.
I am not SEBI Registered
This is my view Only.
Crude sell Trade given at 5780 5630-5560 next target Crude sell given at 5780 holding sell trade, downside target 5630,5560
How My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Crude mcx updated levels buy on dip until 5650 not break Crude mcx updated levels given on chart buy in dip until 5650 not break
How My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Pair Trading & Statistical Arbitrage1. Introduction
Financial markets are inherently volatile, influenced by macroeconomic trends, geopolitical events, corporate performance, and investor sentiment. Traders and quantitative analysts have developed sophisticated strategies to profit from these market movements while minimizing risk. Among these strategies, Pair Trading and Statistical Arbitrage have gained prominence due to their market-neutral nature, making them less dependent on overall market direction.
Pair trading is a type of market-neutral strategy that exploits the relative pricing of two correlated assets, typically stocks, to profit from temporary divergences. Statistical arbitrage, or Stat Arb, extends this concept to a broader portfolio of securities and uses advanced statistical and mathematical models to identify mispricings.
These strategies are widely used by hedge funds, quantitative trading firms, and institutional investors because they can generate consistent returns with controlled risk. In this essay, we will explore the conceptual framework, methodology, statistical underpinnings, practical applications, challenges, and real-world examples of pair trading and statistical arbitrage.
2. Understanding Pair Trading
2.1 Definition
Pair trading is a relative-value trading strategy where a trader identifies two historically correlated securities. When the price relationship deviates beyond a predetermined threshold, the trader simultaneously takes a long position in the undervalued asset and a short position in the overvalued asset. The expectation is that the price divergence will eventually converge, allowing the trader to profit from the relative movement rather than market direction.
2.2 Market Neutrality
The key advantage of pair trading is its market-neutral approach. Since the strategy relies on the relative pricing between two securities rather than the overall market trend, it is less exposed to systemic risk. For example, if the broader market declines, a pair trade may still be profitable as long as the relative relationship between the two securities converges.
2.3 Selection of Pairs
Successful pair trading depends on selecting the right pair of securities. The two primary methods of selection are:
Correlation-Based Approach: Identify securities with high historical correlation (e.g., 0.8 or higher). Highly correlated stocks are more likely to maintain their relative price behavior over time.
Example: Coca-Cola (KO) and PepsiCo (PEP), which often move in tandem due to similar business models and market factors.
Cointegration-Based Approach: While correlation measures the linear relationship between two assets, cointegration assesses whether a stable long-term equilibrium relationship exists. Cointegrated assets are statistically bound such that their price spread tends to revert to a mean over time, making them ideal candidates for pair trading.
2.4 Entry and Exit Rules
Entry Rule: Open a trade when the spread between the two securities deviates significantly from the historical mean, typically measured in standard deviations (z-score).
Example: If the spread between Stock A and Stock B is 2 standard deviations above the mean, short the overperforming stock and go long on the underperforming stock.
Exit Rule: Close the trade when the spread reverts to its historical mean, capturing the profit from convergence. Stop-loss rules are often applied to manage risk if the divergence widens further instead of converging.
2.5 Example of a Pair Trade
Suppose Stock X and Stock Y historically move together, but Stock X rises faster than Stock Y. A trader could:
Short Stock X (overvalued)
Long Stock Y (undervalued)
If the prices revert to their historical spread, the trader profits from the convergence. The market's overall direction is irrelevant; the trade relies solely on the relative movement.
3. Statistical Arbitrage: Expanding Pair Trading
3.1 Definition
Statistical Arbitrage refers to a class of trading strategies that use statistical and mathematical models to identify mispricings across a portfolio of securities. Unlike pair trading, which focuses on two assets, statistical arbitrage can involve dozens or hundreds of securities and uses algorithms to detect temporary pricing anomalies.
Statistical arbitrage aims to exploit mean-reverting behavior, co-movements, or price inefficiencies while keeping market exposure minimal.
3.2 Core Concepts
Mean Reversion: Many statistical arbitrage strategies assume that asset prices or spreads revert to a historical average. The idea is similar to pair trading but applied to larger groups of assets.
Market Neutrality: Like pair trading, statistical arbitrage attempts to remain neutral with respect to market direction. Traders hedge exposure to indices or sectors to isolate the alpha generated from relative mispricing.
Diversification: By analyzing multiple assets simultaneously, statistical arbitrage spreads risk and reduces dependence on any single asset, increasing the probability of consistent returns.
3.3 Methodology
Data Collection and Cleaning: High-quality historical price data is critical. This includes closing prices, intraday prices, volumes, and corporate actions like splits and dividends.
Model Selection:
Linear Regression Models: Estimate relationships between multiple securities.
Cointegration Models: Identify groups of assets that share long-term equilibrium relationships.
Principal Component Analysis (PCA): Reduce dimensionality and identify dominant market factors affecting securities.
Spread Construction: For a set of assets, construct linear combinations (spreads) expected to revert to the mean.
Trade Signal Generation:
Compute z-scores of spreads.
Enter trades when spreads exceed a predefined threshold.
Exit trades when spreads revert to mean or hit stop-loss levels.
Risk Management:
Limit exposure to any single stock or sector.
Monitor residual market beta to maintain neutrality.
Use dynamic hedging and stop-loss rules.
3.4 Examples of Statistical Arbitrage Strategies
Equity Market Neutral: Long undervalued stocks and short overvalued stocks based on statistical models.
Index Arbitrage: Exploit price differences between a stock index and its constituent stocks.
High-Frequency Stat Arb: Uses intraday price movements and algorithms to capture small, short-lived mispricings.
ETF Arbitrage: Exploit deviations between ETFs and the net asset value (NAV) of underlying assets.
4. Challenges and Limitations
Model Risk: Incorrect assumptions about mean reversion or correlations can lead to significant losses.
Changing Market Dynamics: Relationships between securities may break down due to macroeconomic events, mergers, or structural market changes.
Execution Risk: High-frequency stat arb requires fast execution; delays can erode profitability.
Capital and Transaction Costs: Frequent trades and leverage increase transaction costs, which can offset profits.
Overfitting: Overly complex models may perform well historically but fail in live markets.
5. Conclusion
Pair trading and statistical arbitrage represent a sophisticated intersection of finance, mathematics, and technology. Both strategies exploit mispricings in a market-neutral way, offering opportunities for consistent returns with reduced exposure to market direction. Pair trading focuses on two correlated securities, while statistical arbitrage extends the concept to multi-asset portfolios using statistical models. Despite challenges such as model risk and execution hurdles, these strategies remain fundamental tools for modern quantitative trading, especially in highly efficient markets where traditional directional strategies may struggle.
The future of these strategies is closely tied to technological advancements, from high-frequency trading to artificial intelligence, ensuring that quantitative finance continues to evolve toward more data-driven and precise market insights.
17 sep - CL ShortCrude seems in likely level to bounce back. Crude seems in likely level to bounce Crude seems in likely level to bounce Crude seems in likely level to bounce Crude seems in likely level to bounce back. Crude seems in likely level to bounce Crude seems in likely level to bounce Crude seems in likely level to bounce Crude seems in likely level to bounce back. Crude seems in likely level to bounce Crude seems in likely level to bounce Crude seems in likely level to bounce back
Will crude drop to $61.70?hello,
according to my analysis on 2h time frame there is high probability that crude oil futures could drop to 61.7 IN FEW HOURS,
Thematic and Sectoral Rotation Trading1. Introduction
In financial markets, investors and traders are continuously seeking methods to maximize returns while managing risk. Among the myriad strategies, thematic and sectoral rotation trading has gained immense popularity because it aligns investment decisions with evolving economic trends, technological advancements, and market cycles. Unlike traditional strategies that might focus purely on individual securities, sectoral and thematic approaches leverage broader economic patterns, industry performance, and market sentiment.
At its core, sectoral rotation involves shifting capital from one industry sector to another based on their performance in different phases of the economic cycle. Thematic trading, meanwhile, focuses on investing in specific themes or trends, such as renewable energy, digitalization, or electric vehicles, which have potential long-term growth driven by structural shifts in society and the economy.
Understanding these strategies requires a deep dive into economic cycles, market behavior, sector dynamics, and thematic trends.
2. Concept of Sectoral Rotation Trading
2.1 Definition
Sectoral rotation trading is a strategy where investors systematically move investments between sectors to capitalize on varying performances of sectors during different phases of the economic cycle.
2.2 Rationale
Different sectors perform differently depending on macroeconomic conditions. For example:
Early economic recovery: Cyclical sectors like consumer discretionary and technology often lead.
Economic expansion: Industrial and capital goods sectors see strong growth.
Late-stage expansion: Defensive sectors like healthcare, utilities, and consumer staples tend to outperform.
Recession: Safe-haven sectors such as utilities and healthcare gain attention due to lower volatility.
This rotation is based on the understanding that capital flows dynamically between sectors to optimize returns based on economic conditions.
2.3 Sector Classification
Sectors are typically classified into:
Cyclical sectors: Highly sensitive to economic cycles (e.g., consumer discretionary, industrials, technology).
Defensive sectors: Less sensitive to economic cycles (e.g., utilities, healthcare, consumer staples).
Financial sectors: Banks and insurance, which are influenced by interest rate policies.
Commodity sectors: Energy, materials, metals, and mining.
3. Concept of Thematic Trading
3.1 Definition
Thematic trading is investing in broader trends or megatrends that transcend individual sectors. Unlike sectoral trading, themes are based on structural changes in society, technology, or regulations, rather than the economic cycle alone.
3.2 Examples of Themes
Some of the most prominent themes include:
Renewable Energy: Solar, wind, and battery storage companies.
Electric Vehicles (EVs): EV manufacturers, battery producers, and charging infrastructure.
Artificial Intelligence (AI) & Automation: AI software, robotics, and automation solutions.
Healthcare Innovation: Biotech, genomics, telemedicine.
Digital Transformation: Cloud computing, cybersecurity, e-commerce platforms.
3.3 Advantages
Exposure to long-term structural growth.
Diversification beyond traditional sector boundaries.
Ability to capitalize on global megatrends.
4. Key Differences Between Sectoral and Thematic Trading
Feature Sectoral Rotation Trading Thematic Trading
Basis Economic cycles and sector performance Structural trends or megatrends
Time Horizon Medium-term to short-term Medium-term to long-term
Focus Sector performance Specific themes cutting across sectors
Risk Profile Moderately lower if diversified across sectors Can be higher due to concentration in themes
Performance Drivers GDP growth, interest rates, inflation Technological innovation, regulatory changes, societal shifts
Examples Shifting from energy to technology during recovery Investing in EV and renewable energy stocks
5. Economic Cycle and Sector Rotation
The sectoral rotation strategy is closely tied to the economic cycle, which can be divided into four phases:
5.1 Early Recovery
Characteristics: Low interest rates, improving GDP, rising consumer confidence.
Outperforming sectors: Cyclical sectors like consumer discretionary, technology, and industrials.
Trading strategy: Rotate capital from defensive sectors to high-growth cyclical sectors.
5.2 Economic Expansion
Characteristics: High consumer spending, rising corporate profits.
Outperforming sectors: Industrials, financials, materials.
Trading strategy: Increase exposure to sectors benefiting from rising demand and investments.
5.3 Late-Stage Expansion
Characteristics: Slowing growth, inflation concerns, peak corporate earnings.
Outperforming sectors: Defensive sectors such as healthcare, utilities, and consumer staples.
Trading strategy: Shift from high-risk cyclical sectors to low-volatility defensive sectors.
5.4 Recession
Characteristics: Declining GDP, falling corporate profits, rising unemployment.
Outperforming sectors: Utilities, healthcare, consumer staples (defensive sectors).
Trading strategy: Reduce exposure to cyclical sectors and allocate to defensive sectors for capital preservation.
6. Key Indicators for Sectoral Rotation
Traders often use a combination of macro indicators, technical analysis, and sector-specific metrics to guide rotation strategies.
6.1 Economic Indicators
GDP growth
Inflation rate
Interest rates
Consumer confidence
Industrial production
6.2 Market Indicators
Relative strength of sector indices
Sector ETF flows
Price-to-earnings (P/E) ratios
Moving averages and technical trends
6.3 Sector-Specific Metrics
Financials: Net interest margin, credit growth
Technology: Revenue growth, R&D expenditure
Energy: Oil prices, renewable capacity growth
Consumer: Retail sales, brand performance
7. Tools and Instruments for Sectoral Rotation
Sectoral rotation strategies can be executed through multiple instruments:
Sector ETFs: Exchange-Traded Funds representing specific sectors (e.g., technology, healthcare).
Mutual Funds: Sector-specific funds for active management.
Stocks: Direct investment in companies leading their respective sectors.
Options and Futures: Derivatives to hedge or leverage sector exposure.
8. Advantages of Sectoral Rotation Trading
Optimized Returns: Capitalizes on outperforming sectors during different phases.
Diversification: Reduces risk by not being tied to a single sector.
Tactical Flexibility: Can adjust quickly to macroeconomic changes.
Evidence-Based: Relies on historical patterns of sector performance.
9. Risks of Sectoral Rotation Trading
Timing Risk: Misjudging the start or end of a sector’s cycle can lead to losses.
Concentration Risk: Overweighting a sector exposes the portfolio to sector-specific downturns.
Market Volatility: Rapid market changes can disrupt rotation strategy.
Transaction Costs: Frequent trading may increase costs, reducing net returns.
10. Conclusion
Thematic and sectoral rotation trading is a powerful approach to optimizing returns by leveraging macroeconomic cycles and long-term structural trends. While sectoral rotation aligns with the economic phases to identify cyclical and defensive opportunities, thematic trading focuses on long-term megatrends that cut across sectors and markets.
Both strategies require:
Thorough research
Economic and market analysis
Risk management
When implemented correctly, these approaches can help traders and investors maximize growth, diversify risk, and stay ahead of market trends. Integrating sectoral and thematic approaches provides a robust portfolio strategy that captures cyclical performance while riding long-term structural growth trends.
CRUDEOIL1! 1D Time frame📉 Current Market Snapshot (as of September 13, 2025)
Previous Close: ₹5,526
Day's Range: ₹5,454 – ₹5,647
Open: ₹5,480
Close: ₹5,530
📊 Key Levels
Support: ₹5,495, ₹5,442
Resistance: ₹5,663, ₹5,800, ₹5,865
Crude Oil - Sell around 63.80, target 62.00-60.00Crude Oil Market Analysis:
We have been consistently bearish on crude oil for three months now. Our approach is completely in line with the market. As you can see, crude oil currently only needs a simple rebound to make money. Although volatility is minimal, the market will respond accordingly. We are watching for a technical rebound between 61.20 and 60.00. This rebound presents an opportunity to sell again. We sold today when it rebounded to 63.80.
Fundamental Analysis:
The CPI estimate was 2.7%, while the market expected 2.9%, and the price also reached 2.9%. Both market expectations and results were higher than expected, which should have weighed on gold in the long term. However, gold did not fall, but instead surged.
Trading Recommendations:
Crude Oil - Sell around 63.80, target 62.00-60.00
Crude oil - Sell around 65.00, target 62.00-60.00Crude Oil Market Analysis:
Crude oil closed with a small positive candlestick yesterday, rebounding for three consecutive trading days. It appears that the 60.00 support level remains very strong and difficult to break in the short term. If it rebounds near 65.00, continue selling. Crude oil remains bearish. Today's strategy remains unchanged. Yesterday's positive close is somewhat related to the EIA crude oil inventory data.
Fundamental Analysis:
The most important data this week, the CPI, will be released today. The recent surge in gold prices is due to increased market expectations of a September rate cut by the Federal Reserve. This CPI may be the last data the Fed will use as a reference.
Trading Recommendation:
Crude oil - Sell around 65.00, target 62.00-60.00.
Crude oil - Sell around 63.30, target 62.00-60.00Crude Oil Market Analysis:
The strategy for crude oil is simple: a rebound is a selling opportunity. Don't dwell on the details. Crude oil has been fluctuating for a long time. If it breaks through, we will adjust our strategy. Today, sell crude oil around 64.30. The key resistance level for crude oil is around 65.60. A break of this level will trigger a strong trend. Sell crude oil in the short term during short-term fluctuations. A break of 60.00 will open up new room for significant declines.
Fundamental Analysis:
Today, focus on the EIA crude oil inventory data. The CPI will be released tomorrow, and this week's major action will also be tomorrow.
Trading Recommendations:
Crude oil - Sell around 63.30, target 62.00-60.00
WTI(20250910)Today's AnalysisMarket News:
U.S. employment data was significantly revised downward, with jobs for the 12 months ending in March revised down by 911,000.
Technical Analysis:
Today's buy/sell levels:
62.62
Support and resistance levels:
63.88
63.41
63.10
62.14
61.83
61.36
Trading Strategy:
On a breakout above 63.10, consider a buy entry, with the first target at 63.41.
On a breakout below 62.62, consider a sell entry, with the first target at 62.14
Crude oil - Sell near 63.50, target 62.00-60.00Crude Oil Market Analysis:
Crude oil has recently been recovering on the daily chart, with the focus of the recovery shifting downward. Weak inventory data is also the primary reason for the continued decline in crude oil prices. Today, we maintain a bearish outlook and focus on sell orders near 63.50. Don't chase crude oil today; wait for a small rebound before selling. It's been volatile, and the buying and selling game has been going on for a long time.
Fundamental Analysis:
The previous sharp drop in non-farm payroll data led to a surge in gold prices. This week, we will monitor CPI data.
Trading Recommendations:
Crude oil - Sell near 63.50, target 62.00-60.00
Crude oil - Sell around 64.00, with a target range of 62.00-60.0Crude Oil Market Analysis:
Crude oil has recently begun to move slowly, with the daily chart beginning to decline. This week, we will focus on gains and losses around 60.00. If this level is broken, further downside is possible. We remain bearish on crude oil and continue to sell on rebounds. Every rebound presents an opportunity to sell again. Today, we are focusing on sell opportunities near 64.00. The recently released crude oil inventories are essentially flat, with no significant gap to support buying.
Fundamental Analysis:
Last week's non-farm payroll data showed a figure of 22,000, compared to expectations of 75,000 and a previous estimate of 79,000. This result is quite disappointing. In short, fewer US jobs, a weaker economy, and therefore a stronger gold price. This week, we will monitor the CPI.
Trading Recommendations:
Crude oil - Sell around 64.00, with a target range of 62.00-60.00.
Crude oil - Sell around 64.00, target 62.00-60.00Crude Oil Market Analysis:
Crude oil is still experiencing a recent correction in daily price action. We should consider continuing to sell on any rebounds. Previous crude oil contracts and inventories haven't changed the trend, and recent data doesn't support it. I predict it will be difficult to reverse the weak selling trend in the short term. Today, we're considering selling around 64.00.
Fundamental Analysis:
Recent fundamentals haven't significantly stimulated the market. Today, we'll focus on the US non-farm payroll data.
Trading Recommendations:
Crude oil - Sell around 64.00, target 62.00-60.00
Part 1 Ride The Big MovesIntroduction to Options
In the world of financial markets, people look for different ways to make money, reduce risk, or take positions on where they think markets are headed. Apart from buying and selling stocks directly, one of the most powerful tools available is options trading.
Options are a type of derivative contract. This means their value is derived from an underlying asset like a stock, index, currency, or commodity. They give traders and investors flexibility because they can be used for speculation (betting on price movements), hedging (protecting against risks), or even for generating steady income.
Unlike stocks where ownership is straightforward (you buy a share, you own part of the company), options are contracts with special terms, conditions, and expiry dates. This makes them more complex but also more versatile.
For example: If you believe a stock price will rise in the next month, you don’t necessarily need to buy the stock. Instead, you can buy a call option, which gives you the right to buy that stock at a certain price later. Similarly, if you think the stock will fall, you can buy a put option, which gives you the right to sell at a certain price.
This flexibility makes options attractive to professional traders, institutions, and even retail traders who want to manage risk or boost returns.
But with power comes responsibility—options can be risky if not understood properly. That’s why it’s important to study them in depth.
Types of Options (Call & Put)
Call Option (Bullish bet):
If you expect the stock price to go up, you buy a call. Example: Reliance stock is ₹2,500. You buy a call option with strike price ₹2,600. If stock rises above ₹2,600, your option gains value.
Put Option (Bearish bet):
If you expect the stock price to fall, you buy a put. Example: Infosys stock is ₹1,500. You buy a put option with strike price ₹1,400. If stock falls below ₹1,400, your option gains value.
Both call and put can be bought or sold (written). Selling options means you take on obligations, which is riskier but gives you upfront premium income.
Crude oil - Sell around 64.50, target 63.00-60.00Crude Oil Market Analysis:
The recent daily chart of crude oil has been a fluctuating pattern of rising and falling prices, making us question our own future. Today, we maintain a bearish outlook. Every rebound presents a selling opportunity. We've been selling crude oil for months, and it's been fluctuating for months now, with no signs of a rebound or upward movement. Unless the weekly hurdle of 75 is broken, a significant rally is unlikely. Consider selling if it rebounds to 64.50 today.
Fundamental Analysis:
Today we will have ADP employment and unemployment benefits data.
Trading Recommendation:
Crude oil - Sell around 64.50, target 63.00-60.00
Part 9 Trading Masterclass With ExpertsIntroduction to Options
An option is a type of derivative contract. A derivative derives its value from an underlying asset, which could be a stock, index, commodity, currency, or bond. When you buy or sell an option, you don’t directly own the asset but instead own the right to buy or sell it at a pre-agreed price within a specific period.
At its core, an option is a contract between two parties:
The buyer (holder) of the option, who pays a premium for rights.
The seller (writer) of the option, who receives the premium and carries obligations.
Unlike shares, where ownership is straightforward, options deal with probabilities, rights, and conditions. This makes them flexible but also more complex.
Key Features of Options
Before diving deeper, let’s simplify the main features:
Underlying Asset – The financial instrument on which the option is based (e.g., Reliance Industries stock, Nifty50 index).
Strike Price (Exercise Price) – The price at which the underlying asset can be bought or sold.
Expiration Date (Maturity) – The last date the option can be exercised.
Option Premium – The cost of buying the option, paid upfront by the buyer to the seller.
Right but Not Obligation – The buyer can choose to exercise the option but is not compelled to.
Base formed in Crude# CRUDE OIL
Simple price action. Base formed in crude oil near 6400 levels. Be long. Target 6000++++
RSI also confirming bullish view.
This is my view only.
I am not SEBI Registered.
Crude still some fall possible 5360-5350 important support Crude oil still buying missing , we can see 80-90 points more fall .
5350, 5280 support ,
5540, 5595-5615 , 5710-5730 resistance area
Crude updated levels buy near today low for positional Crude updated levels given on chart, buy on dip near today low updated levels given on chart.
russia Ukraine ceasefire will not be done easily .
Rate cuts geopolitical issues, tarrif will act both side move play safe , risk is high at current market scenario
READY FOR A SMALL SLIDE FOR 5700 IN CRUDEOIL5840 is a very strong registance for move up , There is a gap between 5719 TO 5700,
So price will try to cover the 5700 area for sl hunting,
