Harmonic Patterns
Chart Patterns Best Practices for Mastering Chart Patterns
Practice on historical charts
Back-test on long-term charts.
Combine with indicators
RSI divergence works well with reversal patterns.
Volume Profile works well with triangles and wedges.
Moving averages help define trend context.
Focus on quality over quantity
One clean pattern is better than 10 random ones.
Look for confluence
Strong patterns usually align with:
Support/resistance
Trendlines
Fibs
Volume zones
BHARTIARTL 1 Day Time Frame 📌 Live/Recent Price (as of today)
Current Price: ~₹2,095 – ₹2,098 on NSE (approx live market price).
📊 Daily Support & Resistance Levels (Technical)
📍 Pivot‑Based Levels (Typical daily structure)
These levels are derived from recent data and pivot calculations (may vary slightly by source):
Bullish / Resistance Levels
R3: ~₹2,150 – ₹2,160+
R2: ~₹2,130 – ₹2,145
R1: ~₹2,115 – ₹2,120
Central Pivot (CP): ~₹2,095 – ₹2,100 (key intraday balance)
Support Levels
S1: ~₹2,080 – ₹2,085
S2: ~₹2,060 – ₹2,070
S3: ~₹2,040 – ₹2,055
These reflect short‑term intraday pivots used by many traders.
📊 Alternate Daily Pivot Points (from TipRanks)
Level Approx Value
R3 ~₹2,150.65
R2 ~₹2,129.70
R1 ~₹2,116.60
Pivot ~₹2,095.65
S1 ~₹2,082.55
S2 ~₹2,061.60
S3 ~₹2,048.50
🧠 Quick One‑Day Strategy Guide
Bullish view (intra‑day):
Above pivot (~₹2,095‑₹2,100) → upside bias.
Target R1 (~₹2,115) → R2 (~₹2,130‑₹2,145).
Bearish view (intra‑day):
Below pivot and especially below S1 (~₹2,080) → downside to S2 (~₹2,060).
BAJAJ‑AUTO 1 Day Time Frame 📊 Current Price Context (Approx)
BAJAJ‑AUTO is trading around ₹9,070–₹9,220 intraday on NSE (day range roughly 9,025–9,235).
🔁 Daily Time Frame — Key Levels
➤ Immediate Resistance
These are likely intraday upside barriers where price may stall:
₹9,124 – ₹9,149 — first resistance zone.
₹9,196 – ₹9,234 — stronger resistance / supply area.
Above ~₹9,250–₹9,350 — breakout region (higher conviction range).
➤ Current Support
Price levels where buyers may step in:
₹9,053 – ₹9,016 — near‑term support cluster.
₹8,981 – ₹8,882 — broader intra‑day support zone.
Trendline / dynamic support ~₹8,850 – ₹8,900 — rising trend anchoring support.
📐 Pivot Levels (Indicative Guides)
Useful for intraday direction bias:
Pivot / central reference ~₹9,013 – ₹9,025 — current pivot zone.
Above pivot → bullish bias; below pivot → bearish bias.
🧠 How to Use These Levels (Day Trading)
Bullish scenario: Price holds above ₹9,050 and breaks ₹9,124–₹9,149, next target is ₹9,196–₹9,250.
Bearish scenario: Failure below ₹9,016” may see slide to ₹8,900 support or lower.
Breakout signal: A clean close above ₹9,250–₹9,350 suggests stronger intraday upside.
ATHERENERG 1 Day Time Frame 📌 Current Price (Daily)
Live/Latest Price: Around ₹720–₹735 (varies slightly across data sources and latest session) — e.g., ~₹721–₹735 zone is recent trading area.
📈 Daily Pivot & Key Levels (Approximate, Updated Recently)
These levels are calculated from recent price action and useful for intraday/day‑trading bias:
⚡ Central Pivot Point (Daily): ~ ₹701
📌 Support Levels:
S1: ~ ₹693
S2: ~ ₹680
S3: ~ ₹671
📈 Resistance Levels:
R1: ~ ₹715
R2: ~ ₹723
R3: ~ ₹736
(Note: Levels can shift slightly based on exact close price inputs)
🔍 How to Interpret These Levels
Above Pivot (~701): Bullish bias for the day; buyers may target R1 → R2 → R3.
Below Pivot: Signals possible weakness; support zones S1 → S2 → S3 may come into play on pullbacks.
R1/R2 Zone (~715–723): Important resistance zone — price staying above can confirm strength.
S1/S2 (~693–680): Key downside floors for intraday support.
🧠 Quick Daily Level Summary
Level Price (Approx)
Resistance 3 (R3) ~ ₹736
Resistance 2 (R2) ~ ₹723
Resistance 1 (R1) ~ ₹715
Pivot Point (PP) ~ ₹701
Support 1 (S1) ~ ₹693
Support 2 (S2) ~ ₹680
Support 3 (S3) ~ ₹671
BSE 1 Week Time Frame 📊 Current Price Context
Recent trading around ₹2,610–₹2,670 on NSE.
The stock has seen some short‑term weakness over the last week.
📌 Weekly Technical Levels (Support & Resistance)
✔ Weekly Support Levels
Immediate Support: ~₹2,620–₹2,630
Lower Near‑term Support: ~₹2,490
Strong Support Zone: ~₹2,380–₹2,340
✔ Weekly Resistance Levels
Immediate Resistance: ~₹2,700–₹2,710
Higher Resistance: ~₹2,750–₹2,800
Beyond: ~₹2,850‑₹2,900
If price clears ₹2,700–₹2,710 convincingly on weekly closes, next upside targets near ₹2,750‑₹2,800 become relevant.
🧠 Trading Strategy Ideas (Weekly)
Bullish Scenario
Weekly close above ₹2,700–₹2,710 → potential continuation to ₹2,750→₹2,800 area.
Confirmation needed before adding long positions.
Bearish Scenario
Weekly close below ₹2,620 → risk of slide to ₹2,490 → ₹2,380/ zone.
Ideal for short or defensive positioning only with clear breakdown.
Neutral/Range Play
Between ₹2,620 – ₹2,700, expect choppy sideways movement with possible swings.
DIXON 1 Week Time Frame 📉 Current Context
The stock is trading near its 52-week low area (~₹11,700-₹12,000) and prices have been under pressure recently with weak momentum on daily and weekly charts.
Technical indicators show bearish sentiment in the short term.
📊 Weekly Technical Levels (1-Week Range)
🔹 Immediate Support Levels
1. ₹11,903 – Immediate Weekly Support
A key support for the upcoming week — if decisively broken, further downside could accelerate.
2. ₹11,479 – Secondary Support
A deeper support zone below the first level, historically seen as a reaction area.
3. ₹10,708 – Major Lower Support
Stronger long-term support if weakness intensifies — a break below here implies extended downtrend.
🔹 Resistance Levels
1. ₹13,098 – Immediate Weekly Resistance
First meaningful upside barrier; a close above this signals short-term relief.
2. ₹13,869 – Major Weekly Resistance
If price sustains above the first resistance, this is the next meaningful challenge.
3. Higher Zone: 13,800-14,000+
General overhead area where sellers may step in (also seen in other pivot/weekly structures).
📉 Short-Term Risk Indicators
Technical oscillators and moving averages on daily/weekly remain weak/oversold — signaling bearish momentum, though oversold conditions can also lead to short bounces.
Recent rebound attempts show the stock is still vulnerable unless clear upside breakout occurs.
📌 How Traders Use This
Short-term longs may target ₹13,098 to ₹13,800 (with strict stops below ₹11,900).
Short positions/continuation trades might aim for breakdown confirmation below ₹11,903, targeting ₹11,479 / ₹10,700.
Weekly closes (not just intraday) above ₹13,098 or below ₹11,903 are stronger confirmations.
SAIL 1 Month View 📌 Current Price Snapshot
SAIL price ~ ₹132–₹134 range recently data shows the stock in this area.
📈 1-Month Timeframe: Key Levels (Support & Resistance)
🎯 Pivot Level
Pivot (monthly short term): ~ ₹132 area — this acts as the central reference where price flips sentiment.
📉 Support Levels (Possible Buy Zones)
Support 1: ₹130–₹131 — near short-term demand zone.
Support 2: ₹128–₹129 — secondary stronger support if price dips lower.
Support 3: ₹125–₹126 — deeper structural support, significant if broader sell-off.
📊 Resistance Levels (Price Targets / Sell Zones)
Resistance 1: ₹134–₹135 — first level where upside might slow.
Resistance 2: ₹136–₹137 — break above this suggests more bullish action.
Resistance 3: ₹138–₹140 — stronger barrier from prior price clusters.
📌 Alternate Short-Term Pivots (Daily / CPR / Higher Levels)
Some pivot calculators list slightly different daily ranges:
R1 ~ ₹133.7, R2 ~ ₹135.7, R3 ~ ₹141+
S1 ~ ₹131.7, S2 ~ ₹129.4, S3 ~ ₹125.8 — these can be used for shorter intraday decisions but are still useful within 1-month view too.
📌 How to Use These Levels
✔ Bullish view: Price above pivot (~₹132) targeting resistance zones (~₹134–₹137).
✔ Bearish watch: Loss of support below ~₹130 may open pullback to ₹128/₹125.
✔ Range trading: Buy support zones, partial profit near resistance.
📍 Note
These levels are based on recent technical analysis and real trading range data (NSE SAIL) — but markets change rapidly. Consider using live charts or a broker platform for real-time price and volume confirmation before placing orders.
Mastering Bank Nifty Option Trading: Strategies and RisksUnderstanding Bank Nifty Options
Bank Nifty options are derivative contracts based on the Bank Nifty index, which comprises leading public and private sector banks. These options are available in Call (CE) and Put (PE) contracts, giving traders the right (but not the obligation) to buy or sell the index at a predetermined strike price before expiry.
Call Options (CE): Benefit from rising markets
Put Options (PE): Benefit from falling markets
Bank Nifty options have weekly and monthly expiries, making them especially attractive for short-term and intraday traders. Weekly expiries often see fast premium decay, while monthly contracts are preferred for positional strategies.
Why Bank Nifty is Ideal for Option Trading
High Volatility: Banking stocks react strongly to interest rates, RBI policies, inflation data, and global cues. This volatility creates trading opportunities.
Liquidity: Tight bid-ask spreads allow smooth entry and exit.
Predictable Expiry Behavior: Option writers actively participate, making expiry-day strategies popular.
Institutional Participation: Strong volumes due to FIIs and proprietary desks provide depth to the market.
Key Factors Influencing Bank Nifty Options
Interest Rate Decisions: RBI repo rate changes directly impact banking stocks.
Global Markets: US bond yields, dollar index, and global banking sentiment influence movement.
Results Season: Quarterly earnings of major banks cause sharp swings.
Option Greeks: Delta, Theta, Vega, and Gamma play a crucial role in premium behavior.
Popular Bank Nifty Option Trading Strategies
1. Directional Strategies
These are used when traders have a clear market view.
Buy Call: When expecting a strong uptrend
Buy Put: When expecting a sharp decline
This strategy requires accurate timing because time decay works against option buyers.
2. Non-Directional (Range-Bound) Strategies
Used when markets are expected to move sideways.
Short Straddle: Selling ATM call and put
Short Strangle: Selling OTM call and put
These benefit from time decay but carry high risk if the market breaks out sharply.
3. Hedged Strategies
Designed to limit risk.
Iron Condor
Bull Call Spread / Bear Put Spread
Hedged strategies offer limited profit but protect against sudden volatility spikes.
4. Expiry-Day Strategies
Bank Nifty is famous for expiry-day moves.
Scalping ATM options
Gamma-based strategies
Traders must be quick, disciplined, and emotionally neutral.
Role of Open Interest and Option Chain
Option chain analysis is central to Bank Nifty option trading:
High OI at strike prices indicates strong support or resistance
OI buildup with price movement shows trend confirmation
Unwinding signals potential reversal
For example, heavy Put OI at a strike suggests strong support, while Call OI indicates resistance.
Risk Management in Bank Nifty Options
Risk management is the backbone of successful option trading:
Fixed Capital Allocation: Never risk more than a predefined percentage of capital.
Stop Loss Discipline: Always use SL, especially in naked option selling.
Avoid Overtrading: High volatility tempts frequent trades.
Event Awareness: Avoid holding naked positions during RBI policy, inflation data, or global events.
Many traders fail not because of strategy, but because of poor risk control.
Psychology of Bank Nifty Option Trading
Bank Nifty’s fast movement can trigger fear and greed quickly. Emotional discipline is crucial:
Accept small losses
Avoid revenge trading
Stick to predefined setups
Follow a trading journal to track performance
Consistency comes from process, not prediction.
Common Mistakes Traders Make
Buying options without considering time decay
Selling options without hedge
Trading based on tips
Ignoring volatility levels
Overleveraging capital
Avoiding these mistakes significantly improves long-term results.
Option Greeks and Volatility
Delta: Measures price sensitivity
Theta: Time decay (very high near expiry)
Vega: Impact of volatility
Gamma: Speed of Delta change (critical on expiry)
Bank Nifty options are highly sensitive to implied volatility (IV). Buying options at high IV is risky, while selling at elevated IV can be beneficial with proper hedge.
Long-Term Growth as an Option Trader
To grow consistently:
Focus on process over profit
Backtest strategies
Maintain a trading journal
Review losing trades
Trade only when edge exists
Professional traders treat Bank Nifty option trading as a business, not gambling.
Conclusion
Bank Nifty option trading offers immense opportunities due to its volatility, liquidity, and structured behavior. However, the same qualities make it unforgiving for undisciplined traders. Success lies in understanding market dynamics, choosing the right strategy for the right condition, managing risk strictly, and maintaining emotional control. With patience, practice, and a rules-based approach, Bank Nifty options can become a powerful instrument for consistent trading performance rather than a source of repeated losses.
Geopolitical Risk: Understanding Its ImpactGeopolitical risk refers to the uncertainty and potential disruption arising from political, military, diplomatic, and strategic tensions between nations or regions. In an increasingly interconnected global economy, geopolitical developments in one part of the world can quickly transmit shocks across financial markets, trade flows, energy supplies, and investor sentiment. From armed conflicts and trade wars to sanctions, diplomatic standoffs, and regime changes, geopolitical risk has become a central factor shaping economic stability and market behavior.
Nature and Sources of Geopolitical Risk
Geopolitical risk emerges from a wide range of events and structural tensions. Traditional sources include wars, border disputes, and military confrontations. Modern geopolitical risks, however, extend beyond conventional warfare to include cyber conflicts, economic sanctions, resource nationalism, terrorism, and strategic competition between major powers. Trade disputes, tariffs, and technology bans—such as restrictions on semiconductors or telecommunications infrastructure—have added a new economic dimension to geopolitical tensions.
Political instability within countries also contributes significantly to geopolitical risk. Changes in government, policy reversals, social unrest, or weak institutions can alter economic priorities and disrupt business environments. Elections in major economies, shifts toward protectionism, or the rise of populist movements can all trigger uncertainty in global markets. Additionally, geopolitical risk increasingly intersects with climate change, energy security, and access to critical resources such as rare earth metals, water, and food supplies.
Transmission Channels to the Global Economy
Geopolitical risk affects the global economy through multiple channels. One of the most immediate is trade disruption. Conflicts or sanctions can interrupt supply chains, raise transportation costs, and reduce the availability of key commodities. For example, tensions in major shipping routes or energy-producing regions can cause spikes in oil and gas prices, fueling inflation and increasing costs for businesses and consumers.
Financial markets are highly sensitive to geopolitical developments. Heightened risk often leads to increased volatility as investors reassess growth prospects and corporate earnings. Equity markets may decline, particularly in sectors directly exposed to affected regions, while capital tends to flow toward perceived safe-haven assets such as gold, government bonds, or reserve currencies. Currency markets also react sharply, with capital outflows weakening currencies of countries perceived as high risk.
Foreign direct investment (FDI) is another casualty of geopolitical uncertainty. Investors tend to delay or cancel long-term projects when political risks rise, reducing capital formation and slowing economic growth. Emerging markets are particularly vulnerable, as they often rely more heavily on foreign capital and exports. Over time, sustained geopolitical risk can lead to structural changes, including the reconfiguration of global supply chains and the reshoring or “friend-shoring” of production.
Impact on Financial Markets
Geopolitical risk influences asset prices, risk premiums, and investor behavior. Equity markets typically respond negatively to sudden escalations, especially when the outcome is uncertain. Defense-related and energy stocks may benefit during periods of heightened tension, while sectors such as tourism, aviation, and manufacturing often suffer.
Bond markets usually experience a flight to safety during geopolitical crises, driving down yields on government securities of stable economies. Corporate bonds, particularly high-yield or emerging market debt, may see widening spreads as investors demand higher compensation for risk. Commodities are especially sensitive; oil, natural gas, and agricultural prices can surge due to supply fears, while precious metals like gold often rally as stores of value.
Derivatives and volatility indices also reflect geopolitical stress. Implied volatility tends to rise as traders hedge against adverse outcomes. Options markets may price in larger potential price swings, signaling heightened uncertainty. For traders and investors, understanding these dynamics is essential for risk management and portfolio construction.
Geopolitical Risk and Emerging Markets
Emerging economies face disproportionate exposure to geopolitical risk due to weaker institutions, higher reliance on external financing, and greater sensitivity to commodity prices. Political instability or regional conflicts can quickly erode investor confidence, leading to capital flight and currency depreciation. Sanctions or trade restrictions can further isolate these economies from global markets, exacerbating economic challenges.
At the same time, geopolitical shifts can create opportunities for some emerging markets. Countries positioned as alternative manufacturing hubs or energy suppliers may benefit from the diversification of supply chains. Strategic alignment with major powers can attract investment and trade advantages, highlighting that geopolitical risk is not uniformly negative but rather redistributive in nature.
Corporate and Strategic Implications
For corporations, geopolitical risk has become a core strategic consideration. Multinational companies must assess country risk, regulatory uncertainty, and potential disruptions when making investment and operational decisions. Supply chain resilience, diversification of sourcing, and geopolitical scenario planning are now critical components of corporate risk management.
Firms in sectors such as energy, defense, technology, and infrastructure are particularly exposed. Export controls, sanctions compliance, and data sovereignty laws can directly affect business models. Companies that proactively monitor geopolitical developments and build flexibility into their operations are better positioned to navigate uncertainty and protect shareholder value.
Managing and Mitigating Geopolitical Risk
While geopolitical risk cannot be eliminated, it can be managed. Governments play a role through diplomacy, multilateral cooperation, and conflict resolution mechanisms. Clear and consistent policy communication can help reduce uncertainty and stabilize markets. For investors, diversification across regions, asset classes, and currencies is a fundamental strategy to mitigate geopolitical exposure.
Active risk management tools, such as hedging with derivatives, allocating to safe-haven assets, or adjusting sector exposure, can help cushion portfolios against shocks. Long-term investors may focus on structural trends and fundamentals, recognizing that markets often recover once uncertainty subsides. Importantly, distinguishing between short-term market reactions and long-term economic impacts is crucial for disciplined decision-making.
Conclusion
Geopolitical risk is an enduring feature of the global economic landscape, shaped by power dynamics, resource competition, and evolving political priorities. Its influence extends across trade, financial markets, corporate strategy, and investor behavior. As globalization becomes more complex and multipolar, geopolitical considerations will continue to play a decisive role in shaping economic outcomes.
For policymakers, businesses, and investors alike, understanding geopolitical risk is no longer optional—it is essential. Those who can analyze its sources, anticipate its transmission channels, and adapt to its consequences will be better equipped to navigate uncertainty and capitalize on opportunities in an increasingly interconnected yet fragmented world.
PARADEEP 1 Day View 📌 Current Price (Approx, 1D)
₹158–₹160 range around the latest NSE trading levels.
📊 1-Day Technical Levels (Daily)
👉 Pivot / Key Level
📍 Daily Pivot: ~₹157.5–₹158.0 (central reference)
📈 Resistance Levels
R1: ~₹160.8–₹161.0 (first resistance)
R2: ~₹163.0 (mid resistance)
R3: ~₹166.0–₹167.0 zone (higher resistance)
A break above ₹161–₹163 with good volume signals short-term bullish continuation.
📉 Support Levels
S1: ~₹155.3–₹155.5 (first support)
S2: ~₹152.0–₹153.0 (stronger support)
S3: ~₹150.0 (psychological level)
A break below ₹153 could open space for deeper pullbacks in the 1-day view.
🧠 Intraday Context
The stock has been trading sideways to mildly bullish/neutral, staying around the pivot and R1 zone today.
Short-term indicators (like RSI/MAs) show neutral to slight neutral bias, not strongly overbought or oversold.
📌 How to Trade These Levels (1-Day Frame)
✅ Bullish scenario:
Clear break and close above ~₹161–₹163 leads toward ₹166+ resistance.
❌ Bearish scenario:
Closing below ₹155 for a couple of candles may signal deeper pullback toward ₹152 or lower.
📊 Range play:
Between ₹155–₹161 is the immediate intraday range most short-term traders watch.
XAUUSD ANALYSISI have market the possible wave count as per my analysis we can see new high in upcoming months before new high we can see 10 percent correction in gold in upcoming days this is simple correction all metals are bullish as per my analysis. i am attaching last analysis of gold also.
Thanks
Ishu Prajapati
XAUUSD 4H: Market Holding Positive StructureGold is moving with a stable bullish setup on the 4H chart. Price behaviour continues to show higher highs and higher lows, supported by consistent buying activity along the trend direction.
The current zone near 4533 is an important area to monitor. A normal retracement may take place, bringing price back toward the 4510–4490 support range, where demand was seen earlier. If buyers stay active, this area can again provide support.
As long as price remains above this support and the overall structure is respected, the possibility of a move toward the 4600 region remains open. Minor pullbacks should be considered part of healthy market flow, not a trend change.
Traders should rely on price confirmation and follow proper risk control. This view is based only on technical analysis and market structure.
NIFTY Intraday Trade Setup For 30 Dec 2025NIFTY Intraday Trade Setup For 30 Dec 2025
Bullish-Above 26050
Invalid-Below 26000
T- 26260
Bearish-Below 25900
Invalid-Above 25950
T- 25650
We discussed that index may test 25900 below 26110, triggered and reached. Last week a shooting star candle has been formed in weekly TF. Now below 25900 index may extend the move till 25650. Bullish move can be seen if index sustains above 26050. 50 EMA in daily TF can be a confluence zone, break of which will trigger a short term bearishness in overall market. Plan the view on 15 Min candle close.
I am Not SEBI Registered
This is my personal analysis for my personal trading. Kindly consult your financial advisor before taking any actions based on this.
Part 2 Cande Stick Patterns Bull Call Spread
Structure: Buy ATM/ITM call + Sell OTM call
Risk: Limited
Reward: Limited
Net cost: Debit trade
This strategy lowers the premium compared to buying a naked call. The sold call reduces cost but caps upside.
Best Used When:
Moderately bullish
Expect a steady, not explosive move
IV is moderate
Part 1 Master Candle Patterns Long Call
Purpose: Profiting from a sharp upward move.
Cost: Premium paid.
Risk: Limited to premium.
Reward: Unlimited.
This is the simplest directional strategy. You buy a call option at a chosen strike. If the underlying rises beyond strike + premium, you profit.
When to use:
Bullish trend
Low IV
Expecting a strong breakout
The disadvantage is rapid time decay.
Part 2 Support and Resistance 1. Direction
Bullish – Expecting price to rise
Bearish – Expecting price to fall
Neutral/Sideways – Expecting price to stay within a range
2. Volatility
Implied Volatility (IV) – Market’s expectation of future volatility
Historical Volatility (HV) – Actual past volatility
Understanding IV is critical because it defines option pricing:
High IV: Options expensive → better for selling
Low IV: Options cheap → better for buying
3. Time Decay (Theta)
Time decay benefits option sellers
Time decay hurts option buyers
Your strategies should align with whether you want theta as a friend (selling) or foe (buying).
4. Probability and Payoff
Modern options trading is probability-driven. Traders consider:
Break-even points
Maximum risk & reward
Greeks impact (mainly Delta, Theta, Vega)
Option Trading Strategies Why Trade Options?
A. Leverage
You control large positions with small capital.
Example:
Buying a call for ₹100 premium allows exposure to a stock worth ₹10,000.
B. Hedging
Options protect portfolios from losses.
For example, buying a put acts like an insurance policy.
C. Income Generation
Option writers earn premiums consistently.
D. Flexibility
You can bet on direction, volatility, or even no movement.
Part 12 Trading Master Class With Experts What Are Options?
Options are financial derivatives whose value is based on an underlying asset. They come in two primary types:
Call Option
A call option gives the buyer the right to buy an asset at a pre-decided price (strike price) before the expiry date.
Traders buy calls when they expect the market to go up.
Put Option
A put option gives the buyer the right to sell an asset at a strike price before expiry.
Traders buy puts when they expect the market to go down.
CHART PATTERNS Chart patterns describe the overall structure of market movement. They represent multi-candle sequences that show how demand and supply build up over time. Some form quickly; others take weeks or months.
We divide them into three types:
Reversal Patterns
Continuation Patterns
Bilateral Patterns (can break either way)






















