Options Blueprint Series [Basic]: Gold Income or Bargain Entry?The Setup: A Pullback with a Plan
Gold has been riding a strong bullish wave, yet momentum indicators suggest it's time for a breather. RSI is now overbought, and if history repeats, we could see a healthy correction of up to 9.29%, in line with prior pullbacks. This projects price near 3255, where we also find a cluster of UnFilled Orders (UFOs) acting as a potentially relevant support. It’s a key price area where buyers may step in again.
Rather than try to perfectly time the correction or the bottom, we’re applying a more forgiving approach: selling a PUT far below current price—generating income while leaving room to be wrong by over 375 points.
This is not a hedge. This is a standalone income strategy that accepts risk but frames it intelligently using technical context and options structure.
The Strategy: Selling the 3250 PUT on GC
We're using a simple but powerful strategy—selling a naked PUT—which can generate income or result in ownership of Gold at a deep discount if price dips.
Underlying Asset: GCZ2025 – using Gold Futures Options (Nov 24 2025 Expiration)
Strategy: Sell 1x 3250 PUT
Premium Collected: 10.09 points ≈ $1,009
Breakeven Price: 3240
Max Profit: $1,009 (if Gold stays above 3250 until expiration)
Max Risk: Unlimited below breakeven
There are two possible outcomes here:
Gold stays above 3250 → we keep the full premium.
Gold drops below 3250 → we get assigned and become long GC at 3250. From there, we’re exposed to downside risk in Gold, with a breakeven at 3240.
The position benefits from time decay and stable to rising prices, but it does carry the full downside exposure of long Gold futures if the trade moves against us.
We want to be very clear here—this is a naked trade with undefined risk. That doesn’t make it reckless if done with sizing discipline and technical alignment, but it’s not a beginner-friendly strategy.
Gold Contract Specs
Understanding the size and risk of what you're trading is critical—especially with naked options.
✅ GC – Gold Futures (Full Size)
Symbol: GC
Contract Size: 100 troy ounces
Tick Size: 0.10 = $10
Point Value: 1 point = $100
Initial Margin (as of Sep 2025): ~$15,000 per contract (subject to change)
Underlying for the Option: GC Futures
✅ MGC – Micro Gold Futures
Symbol: MGC
Contract Size: 10 troy ounces
Tick Size: 0.10 = $1
Point Value: 1 point = $10
Initial Margin: ~$1,500 per contract (subject to change)
Why does this matter?
Because if GC collapses below 3250 and you're assigned long, you’ll be exposed to full-size futures. That’s $100 per point of movement. A 50-point drop? That's $5,000 in unrealized loss.
That’s where MGC becomes your best ally. Micro Gold futures offer a scalable way to hedge. If price begins moving down or breaks below the support zone, one could short MGC against the Short GC 3250 PUT to cap further losses or rebalance directional exposure with reduced size and margin impact.
The Technical Confluence: Where Structure Meets Strategy
The 3250 strike isn’t just a random number—it’s calculated. Historical RSI-based corrections in Gold have shown recent worse-case scenarios around 9.29%, and projecting that from recent highs lands us precisely near the 3255 zone. This level also aligns with a clear UFO support, where institutional buyers have likely left behind unfilled orders.
That confluence—statistical retracement, technical indicator, and order flow support—gives the 3250 strike an interesting probability structure. Selling a Put beneath it means we are placing our bet below the “floor” and getting paid while we wait.
If Gold never corrects that far, we profit.
If it does, we might get long near a historically meaningful level.
There’s no need to catch the top. There’s no need to nail the bottom.
Just structure the trade where the odds are already potentially skewed in your favor.
Trade Plan: Reward, Risk & Realism
This trade isn’t about precision entry or leveraged glory—it’s about risk-defined logic with a cash-flow twist. Here's the full breakdown:
🧠 Trade Parameters
Strategy: Sell 1x Gold Futures 3250 PUT Options
Premium Collected: 10.09 points = $1,009
Point Value (GC): $100/point
Breakeven Price: 3240 (3250 – 10)
Expiration: Nov 24, 2025
🟩 If Gold Stays Above 3250
You keep the full premium → $1,009 profit
🟥 If Gold Falls Below 3250
You may be assigned 1 GC contra<ct long at 3250
Unrealized losses begin below breakeven (3240)
Losses can be significant if Gold falls aggressively
⚠️ Reward-to-Risk?
Reward is capped at $1,009
Risk is unlimited below breakeven
The trade only makes sense if you're prepared to own Gold, or hedge dynamically via MGC or using any other technique
This isn’t a “set-and-forget” income play—it’s a calculated entry into a structured exposure with a fallback plan.
Risk Management: No Margin for Error
Selling naked options isn’t “free money.” It’s responsibility wrapped in premium. Here's what must be considered:
❗ Undefined Risk
When you sell a naked PUT, you're exposed to the full downside. If Gold drops $100 below your strike, that’s a $10,000 loss. Don’t sell naked options unless you’re ready—and capitalized—to buy the underlying or actively hedge it.
🔄 Use MGC to Hedge
If Gold breaks below 3250, using Micro Gold Futures (MGC) offers a surgical way to hedge risk without overleveraging. A simple short MGC can offset GC losses proportionally, depending on how aggressive the move becomes.
🧮 Precision Matters
Avoid entering trades too early or too large.
Place an “invalidation” point: if price violates the support zone with conviction, reduce or hedge exposure.
Never sell premium just because it’s “high”—sell where structure backs the trade.
📊 Discipline Trumps Direction
This strategy is valid only if risk is respected. The market doesn’t owe anyone consistency—but a structured, risk-controlled approach keeps you in the game long enough to see it.
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com - This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
Oscillators
Candle Metrics: BSP Guide🏛️ RESEARCH NOTES
Buying & Selling Pressure measures the internal dynamics within a candlestick that shapes the trends. It dissects each OHLC range into distinct components made of Body Range, Higher & Lower Wicks, making it possible to quantify bullish & bearish parts of bar range. BSP doesn’t just point direction, it reveals magnitude - how much buyers or sellers injected into the move, and whether that push is accelerating or running out of steam.
Unlike Average %Δ , which uses separate conditional averaging by "count", BSP processes candles through periodic averaging that makes it more responsive for important transitions like: divergence from volatility benchmarks. incentive change (spotting early reversals after impulsive move), filtering false breakouts, confirming trend strength, etc.
⚖️ Candle Metrics
Buying Pressure (BP)
Represents the degree of upward displacement relative to prior reference points.
🟢 Rising BP: Signals growing demand absorption and accumulation, often preceding sustained advances.
🟣 Falling BP: Indicates waning participation from buyers; persistent declines while price rises suggest trend fatigue and elevated risk of retracement.
Selling Pressure (SP)
Captures downward displacement relative to highs and prior closes.
🔴 Rising SP: Reflects heightened distribution activity, consistent with institutional supply or hedging flows.
🟡 Falling SP: Suggests sellers are withdrawing liquidity; commonly observed near troughs as downside momentum exhausts.
Average True Range (ATR) Rising ATR = higher volatility, falling ATR = calm markets. High BP in low ATR = stealth accumulation.
Body Range (BR) Large bodies show conviction, small bodies = indecision. Strong BR + rising BP = solid bullish trend.
Higher Wick (HW) Long HW means rejection at highs (supply). Falling HW means buyers are holding gains.
Lower Wick (LW) Long LW means rejection at lows (demand). Falling LW signals less defense from buyers.
Total Wicks (TW) More wick length = intrabar battles. Expansion of TW with small bodies often precedes reversals.
Average Wick (AW)
Rising AW = more volatility both ways. Falling AW = cleaner, directional trend.
Darkened Tops
Tracks the strongest side (BP or SP) over the lookback period. Its primary function is to dynamically highlight moments of extreme pressure. When either the Buying or Selling Pressure value reaches the level, the tops would . This provides an immediate visual cue for:
Black Colored Plot: A signal that the current buying or selling pressure has hit a significant level relative to recent history, often pointing to climactic activity or a potential exhaustion point.
◇ Practical Interpretation
Trend Confirmation BP ↑, SP ↓, BR ↑, ATR steady → sustainable directional advance.
Exhaustion BP ↓, SP steady or rising, HW ↑ = buyers tiring at resistance, overextended into supply.
Accumulation BP ↑, LW ↑, TW ↑ but ATR low = stealth buying before breakout.
Distribution SP ↑, HW ↑, TW ↑ = sellers unloading into strength. supply emerging into strength, caution warranted.
From Strength to Weakness: ETH Validates a Key Bearish PatternIntroduction (Market Context)
Ether Futures (ETH) and Micro Ether Futures (MET) have been at the center of market attention since April 2025, when prices staged a remarkable rally of more than +250%. This surge was not just a technical phenomenon—it came in the wake of major macro events such as Liberation Day and the reemergence of U.S. tariff policies under Donald Trump’s administration. Those developments sparked speculative flows into digital assets, with Ether acting as one of the prime beneficiaries of capital rotation.
Yet markets rarely move in one direction forever. After such a sharp rise, technical exhaustion often follows, and signs of that exhaustion are beginning to surface on ETH’s daily chart. Traders who enjoyed the rally now face a critical juncture: whether to protect gains or to consider new opportunities in the opposite direction. The key lies in a pattern that has appeared many times in history, often marking important reversals—the Rising Wedge.
What is a Rising Wedge?
A Rising Wedge is one of the most recognizable bearish reversal formations in technical analysis. It typically develops after a strong uptrend, where price continues to push higher but does so with diminishing momentum. On the chart, the highs and lows still point upward, but the slope of the highs is shallower than the slope of the lows, creating a narrowing upward channel.
The psychology behind the wedge is critical: buyers are still in control, but they are running out of strength with every push higher. Sellers begin to absorb demand more aggressively, and eventually, price breaks through the lower boundary of the wedge. This breakdown often accelerates as trapped buyers unwind positions.
From a measurement perspective, technicians project the maximum width of the wedge at its start, and then apply that distance downward from the point of breakdown. This projection offers a technical target for where price may gravitate in the following weeks. In the case of Ether Futures, that target points toward the 3,200 area, a level of strong technical interest and a logical area for traders to watch closely.
RSI and Bearish Divergence
Alongside the wedge, momentum indicators add further weight to the bearish case. The Relative Strength Index (RSI) is a widely used oscillator that measures momentum on a scale of 0 to 100. Values above 70 are generally interpreted as “overbought,” while values below 30 suggest “oversold.”
The most powerful signals often emerge not when RSI is at an extreme, but when it diverges from price action. A bearish divergence occurs when price sets higher highs while RSI forms lower highs. This is an indication that upward momentum is weakening even as price appears to climb.
Ether Futures have displayed this phenomenon clearly over the past few weeks. The daily chart shows four successive higher highs in price, yet RSI failed to confirm these moves, instead tracing a series of lower peaks. Notably, RSI pierced the overbought zone above 70 twice during this period, but momentum faded quickly after each attempt. This divergence is a classic early warning sign that a bullish run is running out of steam.
Forward-Looking Trade Idea
With the Rising Wedge breakdown and RSI divergence in place, a structured trade plan emerges. Futures traders can express this view through either the standard Ether Futures contract (ETH) or its smaller counterpart, the Micro Ether Futures contract (MET).
Contract Specs & Margins
Ether Futures (ETH): Notional = 50 Ether, Tick size = 0.50, Tick value = $25.00, Initial margin ≈ $68,800 (subject to CME updates).
Micro Ether Futures (MET): Notional = 0.1 Ether, Tick size = 0.50, Tick value = $0.05, Initial margin ≈ $140 (subject to CME updates).
Trade Plan (Bearish Setup)
Direction: Short
Entry: 4,360
Target: 3,200
Stop Loss: 4,702 (coinciding with a minor resistance level)
Reward-to-Risk Ratio: ≈ 3.39 : 1
The projected wedge target around 3,200 is not only a measured move from the pattern but also sits close to a previously established UFO support zone. While anecdotal, this confluence reinforces the credibility of the level as a potential magnet for price.
Risk Management
Regardless of how compelling a technical setup may appear, the most decisive factor in trading remains risk management. Defining risk in advance ensures that losses are limited if the market behaves unexpectedly. In this case, placing the stop at 4,702 not only keeps risk under control but also aligns with a minor resistance level, making the trade plan technically coherent.
Position sizing also plays a crucial role. The availability of Micro Ether Futures (MET) allows traders to participate with significantly reduced capital requirements compared to the full-sized ETH contract. This flexibility makes it easier to fine-tune exposure and manage account risk more precisely.
Equally important is the discipline of adhering to precise entries and exits. Chasing a trade or ignoring pre-defined stop levels can erode the edge provided by technical analysis. Markets often deliver multiple opportunities, but without sound risk management, traders may not survive long enough to benefit from them. Ultimately, capital preservation is the foundation on which consistent performance is built.
Closing
Ether’s spectacular rally since April 2025 is a reminder of the asset’s ability to deliver explosive moves under the right conditions. Yet history shows that parabolic advances rarely continue uninterrupted. The combination of a Rising Wedge breakdown and a confirmed RSI divergence provides strong evidence that the current uptrend is losing momentum, and the market may be entering a corrective phase.
For traders, this is less about predicting the future and more about recognizing when probabilities align in favor of a defined setup. With clear entry, target, and stop levels, the ETH and MET contracts offer a structured opportunity for those willing to take a bearish stance while managing their risk appropriately.
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com - This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
one of the applications of RSIRSI as an indicator can be used in several ways ,
RSI is almost mirror image of the price ,
if we convert a candle stick chart into a line chart ,
and we hide which is RSI plotting and which is price plotting ,
it is difficult to identify which one is which...
But there are times where RSI due to it formula creates
divergence and confluences with prices, and there are
many articles and tutorials to explain those aspects of RSI
Motive of this article :
To see RSI as tool for range bound trading , and shape our next trade ideas using this
possibility .
After working with RSI extensively , all what I can say is RSI can be treated
almost similar with all the treatments which we can have over the price chart ,
for example : we can apply head & shoulders / cup&handle etc ... concept(s) on rsi ditto same as we do on price chart. so decoding RSI isn't just limited to divergences ...
One of such use-cases which I have been using about RSI is in range-bound trading,
if we can have a price range or a parallel channel , you can observe that either price
goes side-ways or gets reversed as per the RSI in the respective timeframe ...
here we are taking two channels ( a channel within a channel )
1w candles , and 1D candles .. and you can see RSI going from 30 to 70 to 30 to 70 ,
all alongwith the boundaries of the price range in either 1w or 1d channels ...
Just two images and it is clearly visible what we are discussing here ,
1w candles : see the candles having a range of channel and rsi also behaving in same way between 70-30 levels :
1d candles : see the candles having a range of channel and rsi also behaving in same way between 70-30 levels :
So the whole logic over here is , if in case we can make out a range bound behaviour ,
or a price range in channels , then we can align our next trade idea in accordance
with the RSI behaviour i.e.
if it is around 70 levels in 1D timeframe , then we can try to observe if there is any chart pattern or price action which is showing a sell side trade ...
and if it is around 30 levels in 1D timeframe , then we can try to observe if there a buy side trade based on price action / or chart patterns . . .
same goes with 1W candles ....
( I am not focussing on 1M because it becomes very much slow process and we always have lots of scrips to trade with on D and W basis .. so omitting it for M candles ... but i am much much sure this can work with M candles as well ... )
Now one of the aspect is to check whether there is an alignment of RSI on both timeframes D & W , if both time frames are having rsi around 30 , and the prices are range bound in both timeframes ... we can have a much much high conviction on buy-side or the trade ....
And at last please note three things about RSI which i have observed and discovered
while talking with lots of fellow trades ....
1) RSI follows CLOSE prices , and not the wicks ( high and low ) so while detecting divergences consider the close price and now the high or low ..
2) RSI hitting 70 is not an assurance of prices reversing , it can either reverse or just go side-ways .... RSI at any level 70 or 30 is not an guarantee of " Price reversal "
3) RSI can remain above 70 for a much much time period than usual expectation, and RSI can remain below 30 for much much time ... there are index charts which shows this ...
Bonus point : read some where from a veteran of the market , prices can remain irrational for a longer period of time , just make sure you remain solvent till then ...
happy investing and joyful trading wishes to all
Deep Dive Into Moving Average Convergence Divergence (MACD)🗓 The Moving Average Convergence Divergence (MACD) is one of the most popular momentum indicators in technical analysis. Whether you're a beginner or an experienced trader, understanding how the MACD works can significantly enhance your trading decisions.
📚 Introduction: What Is MACD and Why It Matters
The MACD (Moving Average Convergence Divergence) is one of the most powerful and widely used momentum indicators in technical analysis. It was developed by Gerald Appel in the late 1970s and has since become a staple in the toolkit of traders and investors across markets — from stocks and forex to cryptocurrencies.
At its core, MACD helps traders understand the relationship between two moving averages of an asset’s price, providing insight into both trend direction and momentum strength. By analyzing how these averages converge and diverge, the indicator offers valuable signals for entries, exits, and trend reversals.
What makes MACD especially popular is its versatility — it works well in trending markets, can be used across all timeframes, and combines both leading and lagging components. Whether you're a day trader or a long-term investor, understanding how MACD works gives you an edge in making timely and informed trading decisions.
📚 How the MACD Is Calculated: The Components Explained
The MACD is built from three core components: MACD line, Signal line and MACD histogram.
🔹 Calculating the MACD Line:
The MACD line is the difference between two Exponential Moving Averages (EMAs), typically 12-period EMA (fast) and 26-period EMA (slow). The formula is:
MACD Line = EMA(12) − EMA(26)
This line captures momentum by tracking how the shorter-term average diverges from the longer-term average. When the MACD line rises, the short-term momentum is increasing faster than the longer-term trend — a sign of bullish acceleration. The reverse implies bearish momentum.
🔹 Calculating the Signal Line:
To reduce noise and provide clearer signals, a 9-period EMA of the MACD line is plotted on top. This is the Signal Line, and it acts as a trigger:
When the MACD line crosses above the signal line → bullish signal (buy)
When the MACD line crosses below the signal line → bearish signal (sell)
Signal Line = EMA(9)(MACD Line)
🔹 Calculating the MACD Histogram:
The Histogram shows the difference between the MACD Line and the Signal Line:
Histogram = MACD Line − Signal Line
It provides a visual representation of momentum strength. The histogram bars expand when momentum strengthens and contract as it fades. It helps you spot shifts in momentum earlier than a basic crossover.
📚 How to Use MACD in Trading Strategies
⚡️MACD Signal Line Crossover
Buy Signal:
MACD Line crosses above the Signal Line from below (bullish crossover)
Preferably when both lines are below the zero line (early in the trend)
Price closes above the long-term trend approximation, in our case we use 200-period EMA
Sell Signal:
MACD Line crosses below the Signal Line from above (bearish crossover)
Preferably when both lines are above the zero line (early in the trend)
Price closes below the long-term trend approximation, in our case we use 200-period EMA
📈Long Trading Strategy Example
1. Wait until MACD line crosses over the Signal line from down to up. In our example we use 1D time frame for BITMART:BTCUSDT.P . Open long trade if point 2 will be completed.
2. Price candle shall be closed above the 200-period EMA. This is long-term trend filter to increase the probability that trades will be open only in the direction of the main trend.
3. Close the long trade when the MACD line crosses under the Signal line. This is an approximation that short-term impulse is over and correction is about to start.
In our case we have +20% return on this long trade, but, please, notice that we have not used initial stop-loss in this strategy. Trade was closed according to the technical condition, this approach can violate the risk management rules, but also can be applicable if you trade the amount ready to lose using this strategy. We will talk about stop-loss later.
📉Short trading strategy example
1. Wait until MACD line crosses under the Signal line from up to down. In our example we use 1D time frame for BITMART:ETHUSDT . Open short trade if point 2 will be completed.
2. Price candle shall be closed below the 200-period EMA. This is long-term trend filter to increase the probability that trades will be open only in the direction of the main trend.
3. Close the short trade when the MACD line crosses over the Signal line. This is an approximation that short-term impulse is over and correction is about to start.
In this case we have +15% return on the short trade. Again, strategy used the technical condition to close the trade and now let's cover how to place the stop-loss. There is no right answer how to use stop-losses. The first and the most obvious way to place stop-loss is using recent swing low/high, but the problem is that all traders are seeing them and do the same. Price tends to reach such levels to collect liquidity.
Another one way to place stop-loss is using the signal candle's high/low. This is so-called 1 candle stop-loss. Usually it's very tight and can allow to have the fantastic risk to reward ratio, but we are now recommend to use it if you are not a professional trader because win rate of such strategy decreases.
Third approach in placing stop-loss which we often use in our algorithmic strategies is the Average True Range (ATR). ATR is the volatility measurement, it allows to take into account the current volatility. Sometimes it helps to avoid the stop-loss hit when trade finally goes in your direction. You can just simply subtract (in case of long trade) or add (in case of short trade) ATR value to the entry price and obtain the dynamic stop loss based on current market condition. Also multiplier can be used for ATR. You shall choose the approach which is more comfortable for you, backtest all these approached to make your choice.
🧪Important: we used the long signals only below the zero-line and short signals above it in the attempt to catch the beginning of a trend and have large potential move. On the picture below you can see the same BITMART:BTCUSDT.P , but what will happen if we open long on the lines crossover above zero line? This trade will not be profitable because of restricted potential.
⚡️MACD Zero Line Crossover
Buy Signal:
MACD Histogram crosses above the zero line (momentum shifts from bearish to bullish)
Price closes above the long-term trend approximation, in our case we use 200-period EMA
Sell Signal:
MACD Histogram crosses below the zero line (momentum shifts from bullish to bearish)
Price closes below the long-term trend approximation, in our case we use 200-period EMA
📈Long Trading Strategy Example
1. Wait until MACD Histogram crosses over zero line. Open long trade if point 2 will be completed.
2. Price candle shall be closed above 200-period EMA. This is long-term trend filter to increase the probability that trades will be open only in the direction of the main trend.
3. Take profit when price reaches 3:1 risk to reward ratio according to the stop-loss from point 4.
4. Stop-loss shall be placed below recent swing low. This point can be discussed, you can use any stop-loss technique described earlier in this article. We demonstrate the simplest one, the key here is using at least 3:1 RR.
📉Short trading strategy example
1. Wait until MACD Histogram crosses under zero line. Open short trade if point 2 will be completed.
2. Price candle shall be closed below 200-period EMA. This is long-term trend filter to increase the probability that trades will be open only in the direction of the main trend.
3. Take profit when price reaches 3:1 risk to reward ratio according to the stop-loss from point 4.
4. Stop-loss shall be placed above recent swing high. This point can be discussed, you can use any stop-loss technique described earlier in this article. We demonstrate the simplest one, the key here is using at least 3:1 RR.
⚡️MACD Divergence Strategy
MACD Divergence is a strategy that helps traders identify potential reversals in market direction before they become obvious on the price chart. This makes it a favorite tool among swing traders and crypto enthusiasts looking to catch major moves early.
But what exactly is a divergence? In simple terms, divergence occurs when price and momentum (MACD) are moving in opposite directions — signaling that the current trend may be losing strength and preparing for a reversal. There are two main types of divergence.
🐂 Bullish Divergence
Price makes a lower low
MACD Histogram makes a higher low
This suggests that while price is still falling, downward momentum is weakening. The bears are losing control, and a bullish reversal may be near. Trading signal is very simple, when bullish divergence happens wait for the first increasing column on MACD histogram and open long trade. Place stop-loss under recent swing low and take profit at 3:1 RR.
🐻Bearish Divergence
Price makes a higher high
MACD makes a lower high
This suggests that while price is still falling, downward momentum is weakening. The bears are losing control, and a bullish reversal may be near. Trading signal is very simple, when bearish divergence happens wait for the first decreasing column on MACD histogram and open short trade. Place stop-loss above recent swing high and take profit at 3:1 RR.
🧪 Important hint: MACD histogram shall cross the zero line between two lows/high to create the most reliable divergence signals. We are not recommend to use it without zero-line crossover to decrease number of false signals.
📈Long Trading Strategy Example
1. MACD Histogram shall create higher low.
2. Price shall create lower low.
3. MACD Histogram shall cross the zero line between lows.
4. MACD Histogram shall show the first increasing column.
5. Put stop-loss under the recent swing low.
6. Put take profit at 3:1.
🧪 You can enhance the long signal with the MACD Line divergence. In our case we have both divergences: with MACD Histogram and MACD Line.
📉Short trading strategy example
1. MACD Histogram shall create lower high.
2. Price shall create higher high.
3. MACD Histogram shall cross the zero line between lows.
4. MACD Histogram shall show the first decreasing column.
5. Put stop-loss above the recent swing high.
6. Put take profit at 3:1.
🧪Divergence is extremely strong signal, but when price continue it's move in the direction of a trend and it's not reversing it can also be the signal for the trend continuation. This situation is called "Baskerville Hound" signal, this name was given by famous trader Alexander Elder. We don't recommend to use it for novice traders, but it's useful to know about it.
📚 Conclusion
The Moving Average Convergence Divergence (MACD) is more than just a crossover tool — it's a powerful momentum indicator that offers deep insight into the strength, direction, and timing of market trends. By understanding how the MACD line, Signal line, and Histogram interact, traders can uncover early trend shifts, spot momentum divergences, and time entries and exits with greater confidence.
Whether you're a short-term trader using fast crossovers for scalping or a long-term investor watching for weekly divergences, MACD can adapt to your style when used thoughtfully. Like all indicators, it works best when combined with price action, support/resistance levels, and other indicators — not in isolation.
Ultimately, mastering MACD is not about memorizing patterns, but about learning to read the story of momentum that unfolds beneath the surface of price. With disciplined application and practice, MACD can become a reliable compass in your trading strategy.
Mastering the RSI - How to use it in trading?What will be discussed?
- What is the RSI?
- RSI overbought
- RSI oversold
- RSI divergences
- How to use the RSI
- How to trade with the RSI
What is the RSI?
The Relative Strength Index (RSI) is a popular momentum oscillator used in technical analysis to measure the speed and change of price movements. Developed by J. Welles Wilder Jr., it ranges from 0 to 100 and helps traders evaluate whether a security is overbought or oversold. The RSI typically uses a 14-period timeframe and is calculated based on the average gains and losses over that period. A rising RSI suggests increasing buying momentum, while a falling RSI indicates growing selling pressure.
RSI overbought
When the RSI rises above 70, the asset is generally considered overbought. This condition indicates that the price may have risen too quickly and could be due for a correction or pullback. However, being overbought doesn't automatically mean a reversal will occur, it signals that bullish momentum is strong, and traders should be cautious of potential trend exhaustion.
RSI oversold
Conversely, an RSI reading below 30 is typically seen as a sign that the asset is oversold. This condition suggests the price may have fallen too sharply and could be primed for a rebound. Just like with the overbought condition, an oversold RSI doesn’t guarantee an immediate reversal but serves as a warning that bearish momentum may be overextended.
RSI divergences
Divergences occur when the RSI and the price of the asset move in opposite directions. A bullish divergence happens when the price makes a lower low, but the RSI forms a higher low, potentially signaling a reversal to the upside. A bearish divergence occurs when the price makes a higher high, but the RSI creates a lower high, possibly indicating a downward reversal. Divergences are often used to spot early signs of trend changes.
How to use the RSI?
To use the RSI effectively, traders typically look for overbought and oversold conditions to time entries and exits, combine it with other technical indicators for confirmation, and watch for divergences as a sign of potential reversals. RSI can also be adapted for different timeframes or strategies, depending on whether the trader is looking for short-term swings or long-term trend analysis. While it’s a powerful tool, RSI should not be used in isolation, it works best as part of a broader trading plan that considers market context and risk management.
How to trade with the RSI?
The RSI can be a powerful tool for identifying potential trade setups. When the price approaches a key support zone while the RSI remains in overbought territory, this may signal an early warning of a possible market reversal. However, rather than acting immediately, it's wise to wait for confirmation. A clear candlestick reversal pattern, such as a bullish engulfing candle or a pin bar, a provide stronger evidence that momentum is shifting. By combining RSI readings with price action and support levels, traders can improve the accuracy and timing of their entries.
Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
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Example of how to draw a trend line using the StochRSI indicator
Hello, traders.
If you "Follow", you can always get new information quickly.
Have a nice day today.
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We use the StochRSI indicator to draw a trend line.
We draw a trend line by connecting the peaks of the StochRSI indicator, i.e. the K line, when they are created in the overbought area or when they are created in the overbought area.
That is, when the K line of the StochRSI indicator forms a peak in the overbought area, the trend line is drawn by connecting the Open values of the falling candles.
If the candle corresponding to the peak of the StochRSI indicator is a rising candle, move to the right and use the Open value of the first falling candle.
When drawing the first trend line, draw it from the latest candle.
Since the third trend line indicates a new trend, do not draw anything after the third trend line.
The currently drawn trend line corresponds to the high-point trend line.
-
Therefore, you should also draw the low-point trend line.
The low-point trend line is drawn by connecting the K line of the StochRSI indicator when the top is formed in the oversold zone.
The low-point trend line uses the low value of the candle when the K line of the StochRSI indicator forms the top in the oversold zone.
That is, it doesn't matter whether the candle is a bearish candle or a bullish candle.
The drawing method is the same as when drawing the high-point trend line, drawing from the latest candle.
The top of the best K line of the StochRSI indicator was not formed within the oversold zone.
(The top is indicated by the section marked with a circle.)
Since the trend line was not formed, the principle is not to draw it.
If you want to draw it and see it, it is better to display it differently from the existing trend line so that it is intuitively different from the existing trend line.
-
The chart below is a chart that displays the trend line drawn separately above as a whole.
It is also good to distinguish which trend line it is by changing the color of the high-point trend line and the low-point trend line.
The chart below is a chart that distinguishes the high-point trend line in blue (#5b9cf6) and the low-point trend line in light green (#00ff00).
The low-point trend line is a line drawn when the trend has changed, so it does not have much meaning, but it still provides good information for calculating the volatility period.
-
To calculate the volatility period, support and resistance points drawn on the 1M, 1W, and 1D charts are required.
However, since I am currently explaining how to draw a trend line, it is only drawn on the 1M chart.
-
I use the indicators used in my chart to indicate support and resistance points.
That is, I use the DOM(60), DOM(-60), HA-Low, HA-High, and OBV indicators to indicate support and resistance points.
Since the DOM(-60) and HA-Low indicators are not displayed on the 1M chart, I have shown the 1W chart as an example.
The indicators displayed up to the current candle correspond to the main support and resistance points.
Although it is not displayed up to the current candle, the point where the horizontal line is long is drawn as the sub-support and resistance point.
It is recommended to mark them separately to distinguish the main support and resistance point and the sub-support and resistance point.
The trend line drawn in this way and the support and resistance points are correlated on the 1D chart and the volatility period is calculated.
(For example, it was drawn on the 1M chart.)
The sections marked as circles are the points that serve as the basis for calculating the volatility period.
That is,
- The point where multiple trend lines intersect
- The point where the trend line and the support and resistance points intersect
Select the point that satisfies the above cases at the same time to display the volatility period.
When the point of calculating the volatility period is ambiguous, move to the left and select the first candle.
This is because it is meaningless to display it after the volatility period has passed.
If possible, the more points that are satisfied at the same time, the stronger the volatility period.
If the K-line peak of the StochRSI indicator is formed outside the overbought or oversold zone, it is better to exclude it when calculating the volatility period.
-
The chart below is a chart drawn on a 1D chart by summarizing the above contents.
The reason why there are so many lines is because of this reason.
For those who are not familiar with my charts, I have been simplifying the charts as much as possible these days.
However, when explaining, I have shown all the indicators to help you understand the explanation.
-
Thank you for reading to the end.
I hope you have a successful trade.
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StochRSI indicator and support and resistance levels
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If you "follow" me, you can always get the latest information quickly.
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The StochRSI indicator on the left chart is slightly different from the StochRSI indicator on the right.
The StochRSI indicator on the left chart is the StochRSI indicator provided by default in TradingView, and the StochRSI indicator on the right chart is an indicator with a modified formula.
The StochRSI indicator is a leading indicator that is reflected almost in real time.
Therefore, it reacts sensitively to price changes.
Although it is advantageous because it reacts sensitively, it also increases the possibility of being caught in a fake, so I thought that a slight delay(?) was necessary, and so I created the StochRSI indicator on the left chart.
If you look at the relationship between the K and D of the StochRSI indicators on the two charts, you can see that there is a big difference.
In the end, you can predict the movement by checking whether the movement of the K line has escaped the overbought or oversold section.
However, I think that you will receive information that can determine the sustainability of the trend depending on the positional relationship between K and D.
Therefore, it is important to distinguish the inflection points that occur in the StochRSI indicator.
This is because these inflection points provide important information for drawing trend lines.
Therefore, the StochRSI indicator on the left chart, which better expresses the inflection point, is being used to draw the trend line.
(Unfortunately, this indicator was not registered on TradingView because I did not explain it well.)
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As a new candle was created, the StochRSI indicator on the left chart is showing an inflection point on the K line.
The StochRSI indicator on the right chart is showing a transition to a state where K < D.
We will have to check whether the inflection point was created only when today's candle closes, but I think that the fact that it is showing this pattern means that there is a high possibility of a change in the future trend.
Since the next volatility period is expected to start around July 2nd (July 1st-3rd), I think it has started to show meaningful movements.
-
It is true that you want to buy at the lowest price possible and sell at the highest price.
However, because of this greed, one mistake can lead to a loss that can overturn nine victories, so you should always be careful.
Therefore, if possible, it is better to check for support and respond.
In that sense, I think it is worth referring to the relationship between K and D of the StochRSI indicator on the left chart.
This is because the actual downtrend is likely to start when K < D.
-
In order to check for support, you definitely need support and resistance points drawn on the 1M, 1W, and 1D charts.
Ignoring this and checking for support at the drawn support and resistance points can result in not being able to apply the chart you drew to actual trading.
Therefore, you should draw support and resistance points first before starting a trade.
Otherwise, if you draw support and resistance points after starting a trade, you are more likely to set support and resistance points that reflect your subjective thoughts, so as I mentioned earlier, you are more likely to lose faith in the chart you drew.
If this phenomenon continues, it will eventually lead to leaving the investment market.
-
It is important to determine whether there is support by checking the correlation between the StochRSI indicator and other indicators at the support and resistance points drawn on the 1M, 1W, and 1D charts.
Even if the inflection point of the StochRSI indicator or other indicators occurs at a point other than the support and resistance points you drew, you should consider it as something that occurred beyond your ability to handle.
In other words, you should observe the price movement but not actually trade.
As I mentioned earlier, if you start to violate this, you will become less and less able to trust the chart you drew.
-
Accordingly, the basic trading strategy I suggest is to buy near the HA-Low indicator and sell near the HA-High indicator.
However, since the HA-Low and HA-High indicators are expressed as average values, they may move in the opposite direction to the basic trading strategy.
In other words, if the HA-Low indicator is resisted and falls, there is a possibility of a stepwise downward trend, and if the HA-High indicator is supported and rises, there is a possibility of a stepwise upward trend.
Therefore, the basic trading strategy mentioned above can be considered a trading strategy in the box section.
In the case of deviating from this box section, it is highly likely to occur before and after the volatility period indicated by the relationship between the trend line using the StochRSI indicator mentioned above and the support and resistance points drawn on the 1M, 1W, and 1D charts.
Therefore, special care is required when conducting new transactions during the volatility period.
This is because there is a high possibility of being caught in a fake when trading during the volatility period.
-
The DOM(60) and DOM(-60) indicators are good indicators to look at together with the HA-Low and HA-High indicators.
The DOM indicator is an indicator that comprehensively evaluates the DMI, OBV, and MOMENTUM indicators.
Therefore, the DOM(60) indicator is likely to be at the end of the high point range, and the DOM(060) indicator is likely to be at the end of the low point range.
In the explanation of the HA-Low and HA-High indicators,
- I said that if the HA-Low indicator receives resistance and falls, there is a possibility that a stepwise downtrend will begin,
- and if the HA-High indicator receives support and rises, there is a possibility that a stepwise uptrend will begin.
In order for an actual stepwise downtrend to begin, the price must fall below DOM(-60), and in order for a stepwise uptrend to begin, it must rise above DOM(60).
In other words, the DOM(-60) ~ HA-Low section and the HA-High ~ DOM(60) section can be seen as support and resistance sections.
-
If these correlations start to appear, I think you will be able to create a trading strategy that fits your investment style without being swayed by price volatility and proceed with trading.
The reason for analyzing charts is to trade.
Therefore, the shorter the time for chart analysis, the better, and you should increase the start of creating a trading strategy.
-
Thank you for reading to the end.
I hope you have a successful trade.
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Skeptic | RSI Masterclass: Unlock Pro-Level Trading Secrets!Hey traders, it’s Skeptic ! 😎 Ready to transform your trading? 95% of you are using the Relative Strength Index wrong , and I’m here to fix that with a game-changing strategy I’ve backtested across 200+ trades. This isn’t a generic RSI tutorial—it’s packed with real-world setups, myth-busting insights, and precise rules to trade with confidence. Join me to master the art of RSI and trade with clarity, discipline, and reason. Big shoutout to TradingView for this epic free tool! 🙌 Let’s dive in! 🚖
What Is RSI? The Core Breakdown
The Relative Strength Index (RSI) , crafted by Welles Wilder, is a momentum oscillator that measures a market’s strength by comparing average gains to average losses over a set period. Here’s the formula:
G = average gains over n periods, L = average losses.
Relative Strength (RS) = | G / L |.
RSI = 100 - (100 / (1 + RS)).
Wilder used a 14-period lookback , and I stick with it—it’s smooth, filters noise, and gives a crystal-clear read on buyer or seller momentum. Let’s get to the good stuff—how I use RSI to stack profits! 📊
My RSI Strategy: Flipping the Script
Forget what you’ve read in books like The Handbook of Technical Analysis by Mark Andrew Lim— overbought (70) and oversold (30) aren’t just for shorting or buying. I go long when RSI hits overbought, and it’s been a goldmine. I’ve backtested over 200 trades with this approach, and it’s my go-to confirmation for daily setups. Why does it work? When RSI hits overbought on my 15-minute entry chart, it signals explosive buyer momentum. Here’s what you get:
Lightning-Fast R/R: I hit risk/reward targets in 30 minutes to 2 hours on 15-minute entries (longer for 1-hour entries, depending on your timeframe).
Massive R/R Potential: An overbought RSI on 15-minute can push 1-hour and 4-hour RSI into overbought, driving bigger moves. I hold for R/Rs of 5 or even 10, not bailing early. 🚀
Rock-Solid Confirmation: RSI confirms my entry trigger. Take BTC/USD:
BTC bounces off a key support at 76,000, sparking an uptrend.
It forms a 4-hour box range, but price tests the ceiling more than the floor, hinting at a breakout.
Trigger: Break above the box ceiling at 85,853.57.
On 15-minute, a powerful candle breaks the ceiling, and RSI hits overbought—that’s my green light. I open a long.
Soon, 1-hour and 4-hour RSI go overbought, signaling stronger momentum. I hold, and BTC pumps hard, hitting high R/R in a short window.
This keeps trades fast and efficient—quick wins or quick stops mean better capital management and less stress. Slow trades? They’re a mental grind, pushing you to close early for tiny R/Rs. 😴
Pro Rules for RSI Success
Here’s how to wield RSI like a trading weapon:
Stick to the Trend : Use RSI in the direction of the main trend (e.g., uptrend = focus on longs).
Confirmation Only: Never use RSI solo for buy/sell signals. Pair it with breakouts or support/resistance triggers.
Fresh Momentum: RSI is strongest when it just hits overbought/oversold. If the move’s already rolling, skip it—no FOMO, walk away!
Customize Zones: Overbought (70) and oversold (30) can shift—it might show reactions at 65 or 75. Adjust to your market’s behavior.
Backtesting RSI: Your Path to Mastery
To make RSI yours, backtest it across at least 30 trades in every market cycle— uptrend, downtrend, and range. Test in volatile markets for extra edge. 😏 Key takeaways:
Range Markets Kill RSI: Momentum oscillators like RSI (or SMA) are useless in ranges—no momentum, no signal. Switch to ROC (Rate of Change) for ranges—I use it, and it’s a beast. Want an ROC guide? Hit the comments!
Overextended RSI Zones: On your entry timeframe (e.g., 15-minute), check higher timeframes (e.g., 4-hour) for past RSI highs/lows. These are overextended zones—price often rejects or triggers a range. Use them to take profits.
Final Vibe Check
This RSI masterclass is your key to trading like a pro—fast R/Rs, big wins, and unshakable confidence . At Skeptic Lab, we live by No FOMO, no hype, just reason. Guard your capital— max 1% risk per trade, no excuses. Want an ROC masterclass or more tools? Drop a comment! If this fired you up, smash that boost—it means everything! 😊 Got a setup or question? Hit me in the comments. Stay sharp, fam! ✌️
Best Free Volatility Indicator on TradingView for Gold Forex
This free technical indicator will help you easily measure the market volatility on Forex, Gold or any other market.
It will show you when the market is quiet , when it's active and when it's dangerous .
We will go through the settings of this indicator, and you will learn how to set it up on TradingView.
Historical Volatility Indicator
This technical indicator is called Historical Volatility.
It is absolutely free and available on TradingView, MetaTrader 4/5 and other popular trading terminals.
TradingView Setup
Let me show you how to find it on TradingView and add it to your price chart.
Open a technical price chart on TradingView and open the "Indicators" menu (you will find it at the top of the screen).
Search "Historical Volatility" and click on it.
It will automatically appear on your chart.
"Length" parameter will define how many candles the indicator will take for measuring the average volatility. (I recommend keeping the default number, but if you need longer/shorter-term volatility, you can play with that)
Timeframe drop-down list defines what time frame the indicator takes for measuring the volatility. (I recommend choosing a daily timeframe)
And keep the checkboxes unchanged .
How to Use the Indicator
Now, let me show you how to use it properly.
Wider the indicator and analyse its movement at least for the last 4 months.
Find the volatility range - its low levels will be based on the lower boundary of the range, high levels will be based on its upper boundary.
This is an example of such a range on USDCAD pair.
When the volatility stays within the range, it is your safe time to trade.
When volatility approaches its lows, it may indicate that the market might be slow .
Highs of the range imply that the market is very active
In-between will mean a healthy market.
The Extremes
The violation of a volatility range to the downside is the signal that the market is very slow . This would be the recommended period to not trade because of high chance of occurrence of fakeouts.
An upward breakout of a voliatlity range is the signal of the extreme volatility . It will signify that the market is unstable , and it will be better to let it calm down before placing any trade.
Volatility Analysis
That is how a complete volatility analysis should look.
At the moment, volatility reached extreme levels on CADJPY pair.
The best strategy will be to wait till it returns within the range.
Remember This
With the current geopolitical uncertainty and trade wars, market volatility reaches the extreme levels.
Such a volatility is very dangerous , especially for newbie traders.
Historical volatility technical indicator will help you to easily spot the best period for trading and the moment when it is better to stay away.
❤️Please, support my work with like, thank you!❤️
I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
Altcoins in Focus: Aptos, KAIA, and Ravencoin (RVN)Amid Bitcoin’s rapid growth and renewed interest in Ethereum, investors are increasingly turning their attention to altcoins—alternative cryptocurrencies showing strong potential for sharp gains. As of early June 2025, Aptos (APT), KAIA, and Ravencoin (RVN) stand out for their price surges and growing interest from major exchanges and analysts.
Aptos, a next-generation blockchain platform developed by former Meta (ex-Diem) engineers, has secured its place among the top 50 by market cap. In recent days, the token broke through a resistance level at $9.20, signaling a possible continuation of the uptrend. Its appeal lies in its scalability and its unique MoveVM architecture, which makes it attractive for developers in DeFi and NFT applications.
KAIA, a new token in the AI and metaverse ecosystem, gained over 15% this week following a Binance listing and integration with several major Web3 projects. Investors see KAIA as a potential “new Render,” focusing on neural computation and digital identity infrastructure.
Ravencoin (RVN), a long-time presence in the crypto space, is regaining popularity. With its focus on asset tokenization and copyright protection on the blockchain, RVN surged 14% after announcing partnerships with several independent music platforms.
The rise of these altcoins demonstrates that there is room in the crypto world not just for the giants, but also for innovative, purpose-driven projects capable of capturing market and user interest.
HA-RSI + Stochastic Ribbon: The Hidden Gem for Trend & MomentumNavigating volatile markets requires more than just raw price action. The Heikin Ashi RSI Oscillator blends the power of smoothed candlesticks with momentum insights to give traders a clearer picture of trend strength and reversals.
At Xuantify , we use the Heikin Ashi RSI Oscillator as a hybrid momentum and trend tool. While the indicator calculations are based on Heikin Ashi values to smooth out noise and better capture trend dynamics, the chart itself displays standard candlesticks (real price data) . This ensures that all signals are aligned with actual market structure, making it easier to execute trades with confidence and clarity.
This dual-layer approach gives us the best of both worlds: clarity from smoothing and precision from real price action. MEXC:SOLUSDT.P
🧠 How We Use It at Xuantify
At Xuantify , we integrate the Heikin Ashi RSI Oscillator into our multi-layered strategy framework. It acts as a trend confirmation filter and a momentum divergence detector , helping us avoid false breakouts and time entries with greater precision. We pair it with volume and volatility metrics to validate signals and reduce noise. Note the Stochastic Ribbon Overlay as shown in the chart, very accurate for momentum.
⭐ Key Features
Heikin Ashi Smoothing : Filters out market noise for clearer trend visualization.
RSI-Based Oscillation : Measures momentum shifts with precision.
Color-Coded Bars : Instantly identify bullish/bearish momentum.
Dynamic Signal Zones : Customizable overbought/oversold thresholds.
Stochastic Ribbon Overlay : A powerful multi-line stochastic system that enhances momentum analysis and trend continuation signals.
💡 Benefits Compared to Other Indicators
Less Whipsaw : Heikin Ashi smoothing reduces false signals common in traditional RSI.
Dual Insight : Combines trend and momentum in one visual.
Better Divergence Detection : Easier to spot hidden and regular divergences.
Visual Simplicity : Clean, intuitive design for faster decision-making.
⚙️ Settings That Matter
RSI Length : Default is 14, but we often test 10 or 21 for different timeframes.
Smoothing Type : EMA vs. SMA – EMA reacts faster, SMA is smoother.
Overbought/Oversold Levels : 70/30 is standard, but 80/20 can reduce noise in trending markets.
📊 Enhancing Signal Accuracy
Combine with Volume Oscillators to confirm momentum strength.
Use Price Action Zones to validate oscillator signals.
Look for Divergences between price and oscillator for early reversal clues.
🧩 Best Combinations with This Indicator
MACD : For cross-confirmation of momentum shifts.
Bollinger Bands : To identify volatility squeezes and breakouts.
Support/Resistance Levels : For contextual trade entries and exits.
⚠️ What to Watch Out For
Lag in Strong Trends : Like all smoothed indicators, it may react slightly late.
Over-Optimization : Avoid curve-fitting settings to past data.
Standalone Use : Best used in conjunction with other tools, not in isolation.
🚀 Final Thoughts
The Heikin Ashi RSI Oscillator is a powerful hybrid tool that simplifies complex market behavior into actionable insights. At Xuantify, it’s a core part of our strategy toolkit, helping us stay ahead of the curve with clarity and confidence.
🔔 Follow us for more educational insights and strategy breakdowns!
We regularly share deep dives into indicators, trading psychology, and backtested strategies. Stay tuned and level up your trading game with us!
SMI vs. Stochastic: Which One Gives You the Edge?Momentum indicators are essential tools in every trader’s arsenal—but not all are created equal. While the Stochastic Oscillator has been a go-to for decades, the Stochastic Momentum Index (SMI) offers a more refined and reliable way to read market momentum.
In this post, we’ll break down the key differences between these two indicators, how we use them at Xuantify , and why the SMI might just give you the edge you’ve been looking for.
🧠 How We Use It at Xuantify
We’re always looking for tools that offer greater precision and less noise . While the Stochastic Oscillator is one of the most commonly used tools for spotting overbought and oversold conditions, the Stochastic Momentum Index (SMI) gives us a clearer, smoother view of momentum —especially in volatile or choppy markets.
We use the SMI to refine our entries and exits , particularly when trading breakouts or reversals. MEXC:ETHUSDT.P
⭐ Key Features
Stochastic Oscillator : Measures the closing price relative to the high-low range. Simple and responsive. Great for spotting short-term reversals.
Stochastic Momentum Index (SMI) : Measures the distance of the current close from the midpoint of the high-low range. Smoother and more centered around zero. Better at filtering out false signals.
💡 Benefits Compared to Other Indicators
Stochastic Oscillator vs. SMI:
Signal Smoothness: Moderate vs. High
Noise Filtering: Low vs. Excellent
Centered Oscillation: No vs. Yes (around 0)
Best Use Case: Range-bound markets vs. Trend shifts & momentum confirmation
False Signal Risk: Higher vs. Lower
The SMI is especially useful when you want to avoid whipsaws and get a more reliable read on momentum .
⚙️ Settings That Matter
Stochastic Oscillator : %K = 14, %D = 3
SMI : Length = 14, Signal Smoothing = 3, Double Smoothing = 3
You can adjust the SMI smoothing values to match the volatility of the asset— lower smoothing for fast markets , higher for slower ones.
📊 Enhancing Signal Accuracy
Enhance SMI signals by combining them with:
Trend filters like EMAs or Supertrend
Volume confirmation
Support/resistance zones
Divergence spotting for early trend reversals
This layered approach helps us avoid false positives and stay aligned with the broader trend .
🧩 Best Combinations with This Indicator
SMI + EMA Crossovers: Confirm momentum with trend direction
SMI + RSI Divergence: Spot early reversals with confluence
SMI + Volume Profile: Validate momentum near key price levels
⚠️ What to Watch Out For
Lag in fast markets: SMI’s smoothing can delay signals slightly
Over-optimization: Avoid excessive tweaking of parameters
Not ideal alone: Best used with confluence tools for confirmation
🚀 Final Thoughts
The Stochastic Oscillator is a classic for a reason—but the Stochastic Momentum Index is a refined evolution . We’ve found that SMI gives us cleaner signals , better momentum clarity , and fewer false alarms —especially when paired with smart filters.
If you're looking to upgrade your momentum toolkit , the SMI might just be your edge.
🔔 Follow us for more educational insights and strategy breakdowns!
We break down indicators, strategies, and market psychology to help you trade smarter—not harder.
Color Your Trades: MACD 4C vs the Classic📊 Coloring Momentum: Comparing Standard MACD vs MACD 4C
Momentum indicators are a trader’s compass—but not all compasses are created equal. In this post, we compare the classic MACD with the visually enhanced MACD 4C , a four-color histogram tool that adds clarity and nuance to trend and momentum analysis.
Let’s break down how both tools work, how we use them at Xuantify, and how you can decide which one fits your strategy best.
🔍 What Are These Indicators?
Standard MACD (Moving Average Convergence Divergence) is a time-tested momentum indicator that plots the difference between two EMAs (typically 12 and 26) and a signal line (usually a 9 EMA of the MACD line). It’s simple, effective, and widely used.
MACD 4C , developed by vkno422 , builds on the classic MACD by introducing a four-color histogram and divergence detection , making it easier to interpret momentum shifts and trend strength visually.
Key Differences:
Standard MACD: Two lines + histogram (single color)
MACD 4C: Histogram only, but with four colors to show trend strength and direction
MACD 4C includes bullish/bearish divergence detection
🧠 How We Use Them at Xuantify
We use both indicators—but for different purposes.
1. Standard MACD – Clean Confirmation
We use it for classic trend confirmation and crossover signals . It’s great for traders who prefer minimalism and are comfortable interpreting line-based momentum.
2. MACD 4C – Visual Momentum Clarity
We use MACD 4C when we want a more intuitive, color-coded view of momentum. The four-color histogram helps us quickly spot trend strength, exhaustion, and divergence.
🧭 Color Coding in MACD 4C
MACD 4C uses four histogram colors (default settings):
Lime/Green : Bullish momentum building or continuing
Red/Maroon : Bearish momentum building or continuing
This makes it easier to:
Spot momentum shifts
Identify trend continuation
Detect divergence at a glance
⚙️ Settings That Matter
Both indicators allow customization, but MACD 4C offers more visual tuning:
MACD 4C:
Adjustable fast/slow MA and signal smoothing
Toggle divergence detection
Color-coded histogram for quick reads
Standard MACD:
Clean, minimal, and widely supported
Best for traders who prefer traditional setups
🔗 Best Combinations with These Indicators
We combine MACD tools with:
Structure Tools – BOS/CHOCH for context
Liquidity Zones – To spot where momentum may reverse
Volume Profile – To confirm strength behind moves
Fair Value Gaps (FVGs) – For precision entries
⚠️ What to Watch Out For
Both indicators are lagging by nature—they rely on moving averages. MACD 4C’s divergence detection can help anticipate reversals, but it’s still best used as a confirmation tool , not a standalone signal.
🔁 Repainting Behavior
Both the standard MACD and MACD 4C are non-repainting . Once a histogram bar or crossover is printed, it remains fixed. This makes them reliable for real-time trading and backtesting .
⏳ Lagging or Leading?
These are lagging indicators , designed to confirm trends—not predict them. MACD 4C’s divergence feature adds a leading element , but it should always be used with structure and price action for confirmation.
🚀 Final Thoughts
If you’re a visual trader who wants more clarity from your momentum tools, MACD 4C is a powerful upgrade. If you prefer simplicity and tradition, the standard MACD still holds its ground.
Try both, test them in your strategy, and see which one sharpens your edge.
Understanding Williams %R In TradingThe Williams %R is a fast, sensitive momentum oscillator ideal for short-term trading strategies. It provides early signals of overbought and oversold conditions by comparing the current close to the high-low range over a defined lookback period (typically 14 bars).
By understanding where Williams %R fits among other oscillators, traders can better utilize it within a well-rounded, context-aware strategy.
✅ 1. What Are Momentum Indicators?
Momentum indicators are technical analysis tools used to measure the speed and strength of a price movement over time. Rather than focusing on absolute price direction, momentum indicators assess how quickly prices are changing and help traders identify potential turning points, continuation patterns, or overbought/oversold conditions.
They are particularly useful in sideways or ranging markets, where momentum shifts often precede breakouts or reversals.
Key characteristics of momentum indicators:
Often bounded within fixed ranges (e.g., 0–100 or -100 to 0)
Typically leading indicators, aiming to provide early entry/exit signals
Help spot divergence between price and momentum — a common sign of weakening trends
✅ 2. Understanding the Williams %R Indicator
≫ The Origin: Developed by Larry Williams
The Williams %R indicator was developed by Larry Williams, a renowned trader and author, in the late 1970s. Williams introduced this tool to identify potential market turning points by measuring a security’s momentum relative to its recent high-low range.
Originally intended for short-term futures trading, the indicator has since become a staple for both day traders and swing traders across various markets, including stocks, forex, and crypto.
Larry Williams famously used this indicator in his trading system when he won the 1987 World Cup Trading Championship, turning $10,000 into over $1 million in a single year—demonstrating its real-world impact when used effectively.
≫ Formula Breakdown
The Williams %R formula is as follows:
Williams %R= = (HighestHigh − Close) / (HighestHigh - LowerLow) × −100
Highest High = The highest price over the lookback period (typically 14 periods)
Lowest Low = The lowest price over the same lookback period
Close = The current closing price
This formula normalizes the current price within its recent trading range and expresses it as a negative percentage between 0 and -100.
Example:
If price is at the highest point in the range → %R = 0 (overbought)
If price is at the lowest point in the range → %R = -100 (oversold)
This inverted scale (compared to RSI) helps traders see how close the current price is to the top or bottom of the recent range, providing clues about potential reversal zones.
Williams %R in Pinescript:
//@version=5
indicator("Custom Williams %R", overlay=false)
length = input.int(14, title="Period")
highestHigh = ta.highest(high, length)
lowestLow = ta.lowest(low, length)
williamsR = (highestHigh - close) / (highestHigh - lowestLow) \* -100
plot(williamsR, title="%R", color=color.purple)
hline(-20, "Overbought", color=color.red)
hline(-80, "Oversold", color=color.green)
≫ Key Settings: 14-Period Default and Customizations
The default setting for Williams %R is 14 periods, which Larry Williams originally recommended. However, this lookback period can be customized based on your trading style and timeframe.
Here’s how different settings can be applied:
❖ Intraday Trading (5-minute to 15-minute charts):
Use a 9 to 14-period setting for faster, more responsive signals.
Ideal for scalpers or short-term traders seeking quick entries and exits.
❖ Swing Trading (1-hour to Daily charts):
Stick with the standard 14 to 21-period range.
Balances sensitivity and reliability; helps capture short- to mid-term reversals.
❖ Position/Long-Term Trading (Weekly charts or higher):
Use 21-period or longer to smooth out signals and reduce noise.
Best for spotting high-conviction turning points with less frequent trades.
🔁 Customization Tip:
You can also use multiple %R settings (e.g., 14 and 50) together to analyze short-term momentum inside longer-term trend cycles, adding depth and context to your strategy.
≫ Interpretation: Overbought and Oversold Conditions
The Williams %R scale ranges from 0 to -100 and is interpreted as follows:
❖ Overbought: %R above -20
Indicates that price is near the top of its recent range
Suggests potential for a pullback or reversal downward
❖ Oversold: %R below -80
Indicates price is near the bottom of its recent range
Suggests potential for a bounce or reversal upward
⚠️ Important: Overbought does not mean “time to sell” and oversold does not mean “time to buy.” These are conditions, not signals. Use them with confirmation tools like support/resistance zones, candlestick patterns, volume analysis, divergences and more.
✅ 3. Using Williams %R Effectively
≫ Entry Signals
Williams %R can be used to time entries based on shifts in momentum, especially around key overbought and oversold zones.
❖ Overbought/Oversold Reversals
This is the most common use of Williams %R - identifying turning points when price reaches extreme levels in its recent range:
Overbought Zone (above -20):
Signals potential bearish reversal
Look for confluence with resistance levels or bearish candlestick patterns
Confirmation often comes as %R drops back below -20
Oversold Zone (below -80):
Indicates a possible bullish reversal
Stronger when aligned with support or demand zones
Confirmation often comes when %R climbs back above -80
⚠️ Note: These are signals of potential exhaustion, not guaranteed reversals. Always pair with price action context or volume.
❖ Pullback Continuations
Williams %R can also support trend-following strategies by identifying momentum retracements within an ongoing trend:
In an uptrend, wait for Williams %R to dip below -80 (short-term oversold) and then re-enter above -80 as the trend resumes
In a downtrend, look for a rally where %R rises above -20 (short-term overbought), then re-enters below -20 to confirm trend continuation
This technique helps you buy the dip or sell the rally with better timing and risk control.
≫ Exit Signals
Williams %R can also guide exit timing by showing when momentum is weakening, especially as price moves away from extremes.
❖ Returning to Neutral Zones
When Williams %R moves back toward the -50 midpoint, it can signal that the current move is losing steam.
In a long position, if %R returns from oversold to above -50 but then flattens or dips again, it may be time to take profit
In a short position, if %R rises from overbought back below -50, it suggests selling pressure is decreasing
Exiting before full reversals can help you lock in gains while reducing risk exposure.
❖ Crossovers at Extremes
Some traders look for quick crossovers back through key thresholds (-80 and -20) as exit or reversal alerts:
If %R drops from above -20 back below it, the overbought condition may be ending
If %R rises from below -80 back above it, the oversold condition may be ending
These sharp shifts often precede momentum flips, making them useful for both exit timing and new trade setups in the opposite direction.
❖ False Signal Filtering Techniques
Williams %R can produce false signals, especially in trending or volatile markets. To improve signal quality, consider these filters:
Use with Trend Filters:
Apply moving averages (e.g., 50- or 200-period MA) to define trend direction and avoid counter-trend trades
Only trade overbought signals in a downtrend and oversold signals in an uptrend
Add Price Action Confirmation: Look for candlestick patterns (e.g., engulfing, pin bars) or support/resistance reactions before acting on %R signals
Volume Analysis: Confirm signals with volume spikes or divergences to validate strength or weakness in a move
Multiple Timeframe Confluence: Use Williams %R on a higher timeframe (e.g., 4H or daily) to establish the broader context, then align trades on a lower timeframe
Avoid during High Volatility Events: News releases and earnings reports can create erratic spikes that cause misleading %R readings
❖ Best Market Conditions: Ranging vs Trending Markets
Williams %R performs best under specific market conditions. Understanding when to use it—and when to avoid it—is key to success.
Ranging Markets: Ideal Conditions
Williams %R excels in sideways or consolidating markets
In ranges, price frequently oscillates between support and resistance, making overbought/oversold signals highly effective
Reversals from the -20 or -80 zones often align with the top and bottom of a trading range
Trending Markets: Use With Caution
During strong trends, Williams %R can stay in the overbought or oversold zone for extended periods
This makes reversal signals less reliable and more prone to false exits
In trending conditions, it’s better to:
Use Williams %R for pullback entries
Combine it with a trend filter to stay on the dominant side of momentum
✅ 4. Optimizing the Period Setting (5, 9, 14, 21, etc.)
The length of the lookback period in Williams %R significantly affects signal behavior:
Shorter periods (5, 9):
Produce faster, more frequent signals
Best for scalping and intraday trading
More sensitive but can result in higher noise and false signals
Default period (14):
Balanced responsiveness
Suitable for swing trading and multi-hour charting
Longer periods (21+):
Generate fewer but more stable signals
Best for position trading or slower-moving markets
Reduced noise but may lag in volatile conditions
🔍 To optimize:
Test various period values under consistent rules (e.g., entry/exit and risk management stay the same)
Compare outcomes across different market environments (trending, ranging, volatile)
✅ 4. Key Takeaways
Williams %R is a momentum oscillator that measures the close relative to the recent high-low range on a scale from 0 to -100.
It was developed by Larry Williams to help identify short-term overbought and oversold market conditions.
A reading above -20 suggests overbought conditions, while a reading below -80 indicates oversold conditions.
The default 14-period setting balances signal responsiveness and stability for most traders.
Shorter periods generate faster signals with more noise, while longer periods produce smoother signals with more lag.
Williams %R works best in ranging or sideways markets rather than strongly trending environments.
Traders can use %R for reversal signals or to confirm pullbacks within a broader trend.
Filtering signals with price action, support/resistance, or volume improves accuracy.
The indicator is not meant to be used in isolation and requires confirmation before acting on signals.
Backtesting across different timeframes and period settings is essential for identifying optimal usage.
Performance metrics such as win rate, R:R ratio, and drawdown help evaluate the indicator’s reliability.
Williams %R is easy to code and automate in platforms like TradingView using Pine Script.
The indicator adds value when used as part of a broader, disciplined trading system.
Williams %R is a simple yet deeply insightful momentum oscillator. While often overlooked in favor of more complex indicators, it provides a unique lens into market sentiment and price extremes. Its greatest strength lies in its clarity — helping traders time entries and exits with greater confidence when paired with context.
RSI 101: The Secret of RSI’s WMA45 Line and How to Use ItIn my trading method, I use the WMA45 line together with RSI to help spot the trend more clearly.
Today, I’ll share with you how it works and how to apply it — whether you're doing scalping or swing trading.
Why WMA45?
WMA (Weighted Moving Average) is a type of moving average where recent prices are given more importance.
WMA45 simply means it takes the average of the last 45 candles (could be 45 minutes, 45 hours, or 45 days depending on your chart).
Because it moves slower than RSI, it helps reduce the “noise” and gives you a better idea of the real trend.
This idea is not new — many traders have tested RSI strategies also use this line. I just applied and adjusted it in my own way.
👉 How to set it up on TradingView (very simple):
What WMA45 Tells You
Trending
This line shows you the overall direction of the market:
📉 If WMA45 is going down, the price is likely going down.
📈 If WMA45 is going up, the price is likely going up.
Also, the steeper the line, the stronger the trend is:
Looking at the example above, the WMA45 line starts from the same level in two different phases, but the slope is different. The steeper line shows a larger price range.
This happens because the price was more volatile, which caused the RSI to move more sharply, and that, in turn, made the WMA45 slope steeper.
In multi-timeframe analysis, when the trend on the higher timeframe is strong (shown by a steep WMA45 line), the RSI on the lower timeframe will usually move within a tighter range and react more accurately to key levels.
If you’re not sure what these key RSI levels are, check out my previous post here:
For example, in a strong downtrend on H1, RSI on M5 might not even reach 50:
✅ What does this mean for trading?
Use WMA45 on higher timeframes to define trend bias.
On lower timeframes, watch RSI responses at key zones for optimal entries.
When holding positions, WMA45 helps determine whether to stay in the trade.
Moving Sideways
Here’s something important to note: when WMA45 is flat, RSI will keep crossing back and forth over it.
Depending on where WMA45 is flat, RSI tends to move within that range and creates different sideways price patterns. Here are the main types:
Around 50 → price moves in a box: According to RSI theory, the 50 level is the balance between buyers and sellers. RSI fluctuating around this causes price to move sideways in a rectangular box range.
Above 50 → price goes up in a rising channel: Above 50 is where buyers dominate sellers. RSI operating in this zone will continually create bullish candles pushing the price upward.
Below 50 → price goes down in a falling channel: Below 50 is where sellers dominate buyers. RSI in this zone will consistently form lower highs and lower lows, pushing the price downward.
Trend Reversal of WMA45
WMA45 is calculated from the average of 45 candles, so it's almost impossible for it to reverse direction suddenly. When it's sloping (trending), it takes time for RSI to fluctuate enough to "flatten" it before it can reverse.
As shown in the example, after WMA45 slopes up, before it turns downward, RSI must cross back and forth through it to reduce the steepness => flatten it => then reverse.
Does this align with Dow Theory? It represents the phases: Trend > Sideway > Trend. Sideway is when the WMA45 line is flattened.
✅ What does this mean for trading?
After a trend forms, if you want to enter a counter-trend trade, patiently wait for WMA45 to flatten to confirm the previous trend has ended.
Dynamic Support and Resistance
In addition to being a trend indicator for RSI, WMA45 also serves as a dynamic support/resistance level for RSI.
You will often observe RSI reacting when it encounters the WMA45 line.
In an uptrend, WMA45 acts as support for RSI.
In a downtrend, WMA45 acts as resistance for RSI.
Notably, if the reactions occur at higher RSI values, the resulting price support is stronger. Conversely, if reactions happen at lower RSI values, the price is pushed down further.
In the above example, in the first reaction around RSI 60s, RSI dropped by 9.6 points and price dropped by 12 points. In the second reaction at RSI 40s, RSI dropped similarly, but the price dropped by 25 points.
✅ What does this mean for trading?
You can use WMA45 as an entry zone for your trade: Wait for reactions with WMA45 on the higher timeframe, then switch to a lower timeframe to find a trade entry.
Use WMA45 as a take-profit or stop-loss level: For a short trade near WMA45, you can stop out if RSI crosses above it.
When monitoring these reactions, pay attention to the number of reactions—more reactions require more caution in trading.
Some Trade Setups Using WMA45 and RSI
1. Intraday trading
Trend: Follow the trend on the H1 chart.
Entry zone: At WMA45 of H1.
Entry confirmation: 2 methods:
On M5: when WMA45 of RSI is already flattened, and RSI has crossed above WMA45.
On M5: when a divergence appears in RSI.
2. Scalping
With the RSI’s reaction to WMA45, even on smaller timeframes (M1, M5), you can scalp when RSI touches WMA45.
When WMA45 has a slope and RSI returns to touch it, you can enter a trade with SL behind the candle close (10–20 pips to avoid stop hunts and spread), and TP to the nearest peak.
As mentioned, the first touch gives the best reaction.
My trading system is entirely based on RSI, feel free to follow me for technical analysis and discussions using RSI.
Technical Analysis Indicators Cheat SheetHello, traders! 🦾
This cheat sheet provides a comprehensive overview of the most widely used technical analysis indicators. It is designed to support traders in analyzing trends, momentum, volatility, and volume.
Below, you’ll find a handy screenshot of this Cheat Sheet that you can save and peek at whenever you need a quick, friendly refresher on your trading indicators. ;)
1. Trend Indicators
These tools identify the direction and strength of price movements, critical for trend-following strategies.
Moving Averages (MA)
Simple Moving Average (SMA) and Exponential Moving Average (EMA) smooth price data to highlight trends. Crossovers (e.g., 50-day vs. 200-day MA) signal potential trend shifts.
MACD (Moving Average Convergence Divergence) – Tracks the difference between two EMAs, paired with a signal line to generate trade signals. A bullish crossover occurs when MACD rises above the signal line.
Parabolic SAR. Places dots above or below the price to indicate trend direction. Dots below the price suggest an uptrend; above, a downtrend.
ADX (Average Directional Index)
Measures trend strength (0–100). Values above 25 confirm a robust trend; below 20 indicate consolidation.
2. Momentum Indicators (Oscillators)
These indicators assess price movement speed and highlight overbought or oversold conditions.
RSI (Relative Strength Index)
Ranges from 0 to 100, with values above 70 indicating overbought conditions and below 30 indicating oversold. The divergence between the RSI and price can signal impending reversals.
Stochastic Oscillator –Compares closing price to the price range over a period (0–100). Above 80 is overbought; below 20, oversold. %K and %D line crossovers provide precise trade signals.
CCI (Commodity Channel Index) – Measures price deviation from its average. Readings above +100 indicate overbought; below -100, oversold.
Williams %R – Similar to Stochastic, it measures distance from the period’s high (0 to 100). Above -20 is overbought; below -80, oversold.
3. Volatility Indicators
These tools quantify price fluctuation ranges to optimize trade timing.
Bollinger Bands – Comprises a 20-day SMA and two bands (±2 standard deviations). Narrow bands reflect low volatility; wide bands indicate high volatility. A price touching the outer bands may signal a reversal or trend continuation, depending on the context.
ATR (Average True Range) – Calculates the average price range over a period to gauge volatility. Higher ATR values denote greater market movement.
4. Volume Indicators
Volume-based indicators validate price movements and highlight market participation.
OBV (On-Balance Volume) – Cumulates volume to confirm price trends. The rising OBV, alongside rising prices, supports an uptrend. OBV divergence from price may foreshadow reversals.
Volume Oscillator – Compares two volume moving averages to evaluate buying or selling pressure. Positive values suggest stronger buying. It typically confirms breakouts or assesses the sustainability of a trend.
Chaikin Money Flow (CMF) – It analyzes money flow based on price and volume. Positive CMF indicates buying pressure; negative, selling pressure.
5. Other Key Indicators. Advanced Tools for Deeper Market Analysis.
Ichimoku Cloud – Combines five lines and a “cloud” to assess trend, momentum, and support/resistance. Price above the cloud signals an uptrend; below, a downtrend. Cloud thickness reflects the strength of support or resistance levels.
Fibonacci Retracement – Maps potential support and resistance using Fibonacci ratios (23.6%, 38.2%, 50%, 61.8%).
Pivot Points – Derives support (S1, S2) and resistance (R1, R2) levels from the prior period’s high, low, and close.
Skills to Sharpen for Smarter Trading
Successful traders often find that combining indicators from different categories yields better results. For instance, pairing a trend-based EMA with a momentum indicator like RSI can help confirm signals more reliably — much like crafting the perfect coffee blend, where balance is everything.
Many also realize that stacking similar tools, such as using both RSI and Stochastic, tends to clutter the picture rather than clarify it. A focused set of indicators usually proves more effective.
Another common practice is backtesting setups on historical data to understand how strategies perform in specific markets and timeframes. It’s a way to rehearse before stepping onto the stage.
Ultimately, those who see consistent results tend to integrate indicators into a coherent strategy rather than reacting to every signal. That clarity often makes all the difference
Many of these indicators, from MACD to Bollinger Bands, are readily available on platforms like TradingView, making it easy to apply them to your charts.
Subscribe and let us know which of these indicators intrigues you the most so we can explore it further in our next post!
Good luck! 👏
What If Trump’s Tariffs Are Actually Bullish for SPX ?Hello Traders 🐺
In this idea, I want to take a closer look at SPX and break down why the new U.S. tariffs and Trump’s economic policies could either boost or damage the U.S. economy in the coming months. So make sure to stay with me until the very end.
🔍 Let’s start with the chart:
As you can see, SPX is currently holding above a weekly support level, marked by the orange ascending trendline. So far, so good. However, we’re also seeing a massive bearish divergence on the RSI — and in my opinion, this was one of the key reasons behind the recent Black Monday-style selloff.
⚠️ But here’s the deal: If SPX breaks below this orange trendline, the next strong support is around 3375 — aligned with the 0.5 Fibonacci level and the monthly blue trendline inside our green support zone.
🤔 Should we be bearish on SPX and the U.S. economy?
That’s the big question… and it’s tricky to answer right now. Let’s break it down.
🔧 1. Tariffs and Trump: What’s really going on?
We’re currently in a pause phase of the ongoing tariff war — with countries negotiating to avoid escalation. But here’s the catch: markets hate uncertainty, and that’s why we saw panic selling recently.
Still, most people miss the bigger picture here.
The U.S. has long been a consumer-driven economy, importing heavily from other nations. Meanwhile, U.S. producers have struggled to compete — both domestically and internationally — due to low tariffs at home and high tariffs abroad.
So what do Trump’s new tariffs do?
✅ They level the playing field for U.S. companies at home
✅ They push other countries to lower their tariffs through negotiation
✅ They reduce dependency on foreign imports and support domestic production
In short, if combined with smart monetary policy, these moves could actually help revive U.S. manufacturing and strengthen the economy in the mid-to-long term.
📉 Final thoughts on SPX:
I personally don’t believe the bearish breakdown is coming — but as a trader, I focus on reality, not preference. Right now, we’re still holding above major support, and unless that breaks, the bullish scenario remains in play.
Let me know what you think about this macro setup in the comments.
And as always remember:
🐺 Discipline is rarely enjoyable, but almost always profitable 🐺
🐺 KIU_COIN 🐺
Best Technical Indicator to Identify Order Block & Imbalance
Your ability to correctly identify Order Blocks on a price chart is essential for profitable trading Smart Money Concept.
In this article, I will show you a great technical indicator that will help you to spot Order Blocks on any financial market.
First, in brief, let me give you my definition of Order Block.
The problem is that in SMC trading there is no one single definition of that and many traders interpret it differently.
To me, an Order Block is a specific zone on a chart from where a strong price movement initiates and where a significant imbalance between supply and demand occurs .
This imbalance should strictly originate from a liquidity zone.
That definition implies that in order to identify an Order Block zone, one should learn to properly identify the imbalance and liquidity zones.
And again, there is no precise definition of an imbalance on a price chart. To me, a bullish imbalance is a formation of a bullish engulfing candle - the one that engulfs a range of previous bearish candle with its body.
Above is the example of a valid Order Block on GBPUSD.
A bearish imbalance is a formation of a bearish engulfing candle - the one that engulfs a range of a previous bullish candle with its body.
Above, you can see the example of an Order Block on USDCAD, based on a bearish imbalance.
There is one technical indicator that will help you to recognize such Order Blocks. It is called " All Candlestick Patterns" on TradingView.
Open settings of the indicator and make it show ONLY Engulfing Candles and choose "No Detection" in "Detect Trends Based on".
After that, hide the indicator and first, Identify the liquidity zones on a chart and wait for a test of one of these zones.
Here is a test of a liquidity zone on NZDUSD on an hourly time frame.
After that, turn on the indicator, and wait for its signal.
You can see that after some time, the price formed a bullish imbalance with a bullish engulfing candle. The indicator highlight that candle.
The Order Block zone will be based on the lowest low of 2 candles and the high of a bearish candle preceding the imbalance.
One more example. We see a test of a significant liquidity zone on EURAUD on a 4H time frame.
We turn on the indicator and look for a signal.
A bearish imbalance is formed and the indicator immediately notifies us.
An Order Block Zone in that case will be the area based on the highest high of 2 candles and the low of a bullish candle preceding the imbalance .
Of course, there will be the rare cases when the indicator will miss the imbalances. But while you are learning to recognize Order Blocks, this indicator will definitely help you a lot!
Thank you for reading!
❤️Please, support my work with like, thank you!❤️
I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
Mastering the Stochastic RSI - Guide to Spotting Momentum ShiftsIntroduction
In the world of technical analysis, momentum indicators are essential tools for understanding market sentiment and potential price movements. One such tool is the Stochastic RSI (Stoch RSI), a unique and highly sensitive variation of the traditional Relative Strength Index (RSI). While the standard RSI focuses on price, the Stoch RSI takes it a step further by measuring the momentum of the RSI itself. This makes it a faster-reacting and more dynamic indicator that many traders use to anticipate trend shifts and spot overbought or oversold conditions earlier.
What is the Stochastic RSI?
The Stochastic RSI (Stoch RSI) is a momentum oscillator that operates similarly to the RSI but with a twist — instead of measuring the price of an asset, it measures the movement of the RSI. Because of this, the Stoch RSI is typically more sensitive and quicker to respond to changes in market momentum.
It consists of two lines:
* The blue line: The primary line that reacts quickly and shows when the RSI is gaining or losing momentum.
* The orange line: A moving average of the blue line, which acts as a smoother version to help filter out noise and highlight potential turning points.
How to Read the Stoch RSI
The Stoch RSI moves between 0 and 100, and traders often focus on the 20 and 80 levels as key thresholds:
Above 80 (Overbought): Indicates that the RSI has been running hot compared to recent values. This suggests strong upward momentum that could be due for a slowdown or minor correction. However, it doesn’t necessarily mean the price will drop immediately, just that conditions are extended.
Below 20 (Oversold): Suggests the RSI has been suppressed, signaling weakening bearish momentum and a possible reversal upward. Again, this isn’t a guaranteed bounce but rather a situation where a shift may be more likely.
How to Trade with the Stoch RSI
While entering overbought or oversold zones can offer insight, trading solely based on those levels is risky. Instead, look for crossovers between the blue and orange lines:
Bearish signal: When the Stoch RSI is above 80 and the blue line crosses below the orange line, it can indicate that bullish momentum is fading — a potential short entry.
Bullish signal: When the Stoch RSI is below 20 and the blue line crosses above the orange line, it may suggest that bearish momentum is weakening — a potential long entry.
These crossover points provide more reliable signals than the levels alone, especially when confirmed by price action or other indicators.
What Timeframes to Use
The Stoch RSI can be applied to any timeframe, but its effectiveness varies. On lower timeframes (like 1-minute or 5-minute charts), it generates many signals, including plenty of false or weak ones. For stronger and more reliable signals, it’s best used on higher timeframes such as the 4-hour, daily, weekly, or monthly charts. Generally, the higher the timeframe, the more significant the signal becomes.
Conclusion
The Stochastic RSI is a powerful indicator that combines the strengths of the RSI and Stochastic Oscillator to deliver sharper, more responsive momentum signals. While it’s tempting to act on overbought or oversold readings alone, true effectiveness comes from understanding the behavior of the two lines and using it in conjunction with other analysis tools. Whether you're a short-term trader or a long-term investor, mastering the Stoch RSI can add depth to your strategy and help you make more informed decisions.
RSI 101: Revealing the Special Characteristics of RSIWhy does RSI have support and resistance levels at 40 and 60?
Why does divergence happen between RSI and price?
What is RSI momentum?
All the characteristics of RSI (that I know) will be explained here.
Formula and Meaning
If you are using TradingView, you probably already know what RSI is and what "overbought" and "oversold" mean. So, I won’t repeat it here. Instead, I’ll dive deeper into the true nature of RSI, giving you a different perspective.
You can skip the mathematical formula of RSI, it’s already discussed everywhere online. Just remember this ratio table:
Here’s how I explain the table:
At RSI = 50, the average gain equals the average loss (I'll call this the buy/sell ratio). This is a balanced point. Buyers and sellers are equally strong.
At RSI ~ 60 (66.66), the buy/sell ratio = 2/1. Buyers are twice as strong as sellers.
At RSI ~ 40 (33.33), the buy/sell ratio = 1/2. Sellers are twice as strong as buyers.
At RSI = 80, the buy/sell ratio = 4/1. Buyers are four times stronger.
At RSI = 20, the buy/sell ratio = 1/4. Sellers are four times stronger.
The formula shows that when RSI reaches 80 or 20, the buyer or seller is extremely strong — about four times stronger — confirming a clear trend.
At these levels, some Trading strategies suggest placing a Sell or Buy based on the overbought/oversold idea.
But for me, that’s not the best way. The right approach is: when a trend is clearly formed, we should follow it.
I'll explain why right below.
Look at this chart showing RSI changes with the buy/sell ratio:
When RSI > 50:
When RSI < 50:
You can see that the higher RSI goes, the slower it climbs, but the high buy/sell ratio makes price move up faster.
Similarly, when RSI goes lower, it drops slower but price drops faster.
That’s why at overbought (RSI=80) or oversold (RSI=20) areas, you need to be careful. Even a small RSI moving can lead to big price changes, easily hitting your stop loss.
On the other hand, if you follow the trend and wait for RSI to pull back, you will trade safer and more profitably.
RSI Key Levels
Here are some special RSI levels I personally find useful when observing FX:XAUUSD :
(These levels are relative. They might vary with different timeframes or trading pairs. Check historical data to find the right ones for you. On bigger timeframes like M15 or above, the accuracy is better.)
RSI = 20
When RSI hits 20, sellers dominate. This confirms a trend reversal to bearish.
RSI = 80
When RSI hits 80, buyers dominate. This confirms a trend reversal to bullish.
RSI = 40
This is a sensitive level. Sellers start gaining the upper hand (sell/buy = 2/1).
If buyers lose 40, they lose their advantage.
So RSI >= 40 is "buyer territory". In an uptrend, RSI usually stays above 40.
RSI = 40 acts as support in an uptrend.
RSI = 60
Same idea. RSI <= 60 is "seller territory".
RSI = 60 acts as resistance in a downtrend.
40 and 60 are considered the key levels of RSI.
Now you guys know why RSI has support/resistance around 40/60!
RSI Range
As you know, RSI moves between 0 and 100.
Since RSI >= 40 is buyer territory, we can see the relationship between price and RSI:
When RSI stays above 40, price tends to move in an uptrend:
When RSI stays below 60, price tends to move in a downtrend:
When RSI stays between 40 and 60, buyers and sellers are balanced, and price moves sideways in a box:
When RSI is moving, It creates a RSI Range.
Whenever the trend switches between the three states — uptrend, sideways, and downtrend — a Range Shift is formed.
At first, RSI moves in 40-60 range, price moves sideways. A strong price move pushes RSI to 80. Later, RSI stays above 50, helping price grow strongly. When momentum fades, RSI returns to 40-60 and price moves sideways again.
Note:
RSI reflects Dow Theory by showing the stages of accumulation, growth, and distribution.
And as you see, when RSI touches key levels, the trend often pulls it back.
RSI Momentum
Price momentum means how fast price changes.RSI momentum represents the change in the strength between buying and selling forces.
When RSI > 50:
If price falls, RSI shows high momentum — RSI drops fast but price drops slowly.
If price rises, RSI shows low momentum — RSI rises slowly but price rises fast.
For example, at first RSI is above 50.
Price drops from (a) to (b) by 44 units, RSI drops from (Ra) to (Rb) by 25 units.
Later, RSI drops from (Rb) to (Rc) (also 25 units) but price drops from (b) to (c) by 73 units.
When RSI < 50:
If price falls, RSI has low momentum — RSI drops slowly but price falls fast.
If price rises, RSI has high momentum — RSI rises fast but price rises slowly.
RSI and Price Divergence
Divergence happens when price and RSI move in opposite directions:
Price goes up but RSI goes down, or vice versa.
Why does divergence happen?
In a strong downtrend, price forms a bottom at point (1), and RSI drops to level (r1).
When a price pullback happens, price pushes up to a peak at point (2), and RSI also bounces back to level (r2).
Because the downtrend is strong, after completing the pullback (1-2), price continues to make a lower bottom at point (3).
At this point, remember the behavior of RSI momentum when RSI is below 50:
It takes a large price drop (from 2 to 3) to cause a small RSI drop (from r2 to r3).
Meanwhile, even a small price increase (from 1 to 2) causes a large RSI rise (from r1 to r2).
Since the distance (1-2) is smaller than (2-3), but the RSI move (r1-r2) is bigger than (r2-r3), divergence is created.
Divergence shows that the current trend is very strong, not a complete signal of a trend reversal.
(I might share with you how to spot a complete RSI reversal signal in future posts.)
As shown in the example above, after forming bottom (5) and creating a bullish divergence between (3-5) and (r3-r5), price still kept dropping sharply while RSI kept rising.
In these areas, if you keep trying to catch a reversal just based on divergence, you will likely need to DCA or cut your losses many times.
That’s why the most important thing in trading is always to follow the trend.
RSI Exhaustion
RSI Exhaustion happens when RSI keeps getting rejected by a resistance or support zone and can’t break through.
After a strong downtrend, RSI recovers but stalls around the 5x zone.
It tries many times but fails, showing buying power is weakening.
Then the downtrend continues:
Exhaustion near high or low RSI levels creates stronger divergences than exhaustion in the middle range:
Double or triple tops/bottoms on RSI (M or W shapes) basically indicate RSI exhaustion.
RSI Can Identify Trend Strength
In an uptrend:
If RSI pulls back to a higher level before going up again, the trend is stronger.
The pullback should not fall too deep (below 40).
Example:
First rally: RSI drops to 60 before rising again → strong rally (273 units).
Second rally: RSI drops to 50 before rising again → weaker rally (94 units).
Same idea for a downtrend:
If RSI pullbacks to 50 then drops again, the downtrend is stronger than if it pullbacks to 60.
RSI Support and Resistance
Besides 40-60 acting as support/resistance, RSI also reacts to old tops and bottoms it created.
Why does this happen?
RSI is calculated from closing prices.
On a higher timeframe, the candle close price is a high/low or support/resistance price on lower timeframes.
When RSI moves in a trend on a higher timeframe, it maintains a buy/sell ratio, forcing lower timeframe RSI to oscillate within a range.
Example:
On H4, RSI stays above 40 → uptrend.
It makes H1 RSI move between 30-80.
Sharp RSI tops/bottoms react even stronger because they show strong buying/selling forces.
Summary
When looking at the price chart, we can see that price can rise or fall freely without any defined boundaries.
However, RSI operates differently: it always moves within a fixed range from 0 to 100.
During its movement, RSI forms specific patterns that reflect the behavior of price.
Because RSI has a clear boundary, identifying its characteristics and rules becomes easier compared to analyzing pure price action.
By studying RSI patterns, we can make better assumptions and predict future price trends with higher accuracy.
I have shared with you the core characteristics of RSI, summarized as follows:
Besides overbought (80) and oversold (20), RSI respects 40 and 60.
40 is support level in an uptrend. 60 is resistance level in a downtrend.
In an uptrend, RSI stays above 40.
In a downtrend, RSI stays below 60.
An RSI Range-Shift leads to a trend change.
RSI Divergence shows strong trends.
Double or triple tops/bottoms show RSI exhaustion → potential reversals.
The higher the RSI level, the slower it moves, but the faster the price rises.
The lower the RSI level, the slower it moves, but the faster the price falls.
A strong uptrend can be identified when RSI moves within a higher range or shows continuous bearish divergences.
A strong downtrend can be identified when RSI moves within a lower range or shows continuous bullish divergences.
RSI reacts to its old tops and bottoms.
Sharper RSI peaks show stronger selling.
Sharper RSI bottoms show stronger buying.
In the next parts, I’ll show you how to apply these RSI's Characteristics to trend analysis, multi-timeframe analysis, and trading strategies, that you might have never seen before.
I trade purely with RSI. Follow me for deep dives into RSI-based technical analysis and discussions!
RSI 101: Scalping Strategy with RSI DivergenceFX:XAUUSD
I'm an intraday trader, so I use the H1 timeframe to identify the main trend and the M5 timeframe for entry confirmation.
How to Determine the Trend
To determine the trend on a specific timeframe, I rely on one or more of the following factors:
1. Market Structure
We can determine the trend by analyzing price structure:
Uptrend: Identified when the market consistently forms higher highs and higher lows. This means price reaches new highs in successive cycles.
Downtrend: Identified when the market consistently forms lower highs and lower lows. Price gradually declines over time.
2. Moving Average
I typically use the EMA200 as the moving average to determine the trend. If price stays above the EMA200 and the EMA200 is sloping upwards, it's considered an uptrend. Conversely, if price is below the EMA200 and it’s sloping downwards, it signals a downtrend.
3. RSI
I'm almost use RSI in my trading system. RSI can also indicate the phase of the market:
If RSI in the 40–80 range, it's considered an uptrend.
If RSI in 20 -60 range, it's considered a downtrend.
In addition, the WMA45 of the RSI gives us additional trend confirmation:
Uptrend: WMA45 slopes upward or remains above the 50 level.
Downtrend: WMA45 slopes downward or stays below the 50 level.
Trading Strategy
With this RSI divergence trading strategy, we first identify the trend on the H1 timeframe:
Here, we can see that the H1 timeframe shows clear signs of a new uptrend:
Price is above the EMA200.
RSI is above 50.
WMA45 of RSI is sloping upward.
To confirm entries, move to the M5 timeframe and look for bullish RSI divergence, which aligns with the higher timeframe (H1) trend.
RSI Divergence, in case you're unfamiliar, happens when:
Price forms a higher high while RSI forms a lower high, or
Price forms a lower low while RSI forms a higher low.
RSI divergence is more reliable when the higher timeframe trend remains intact (as per the methods above), indicating that it’s only a pullback in the bigger trend, and we’re expecting the smaller timeframe to reverse back in line with the main trend.
Stop-loss:
Set your stop-loss 20–30 pips beyond the M5 swing high/low.
Or if H1 ends its uptrend and reverses.
Take-profit:
At a minimum 1R (risk:reward).
Or when M5 ends its trend.
You can take partial profits to optimize your gains:
Take partial profit at 1R.
Another part when M5 ends its trend.
The final part when H1 ends its trend.
My trading system is entirely based on RSI, feel free to follow me for technical analysis and discussions using RSI.