How to Find Day Trading Momentum Plays...In this video I show the screener I use in order to find my momentum day trading setup. If you have any questions feel free to ask. Hope you enjoy!!
X-indicator
About the chart that shows a sideways movement...
Hello, traders.
If you "follow", you can always get new information quickly.
Have a nice day today.
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When you study charts, you will realize how difficult it is to move sideways.
Therefore, depending on how long the sideways movement was before the big wave, the size of the wave is also predicted.
However, in the charts showing sideways movement, the price range and wave size are often known after the wave appears.
This shows that the location of the sideways movement and the size of the sideways wave are important.
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Looking at the chart above, we can say that it is showing a sideways movement.
However, since the price is located at the lowest price range, it is better to exclude this chart.
The reason is that if it is showing a sideways movement at the lowest price range, it is likely that the trading volume has decreased significantly due to being excluded from the market.
This is because it is likely to take a long time to turn into an upward trend in this state.
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Looking at the chart above, the price is showing a sideways movement while maintaining a certain interval after rising.
The sideways movement is about 31%, so it may be ambiguous to say that it is actually sideways.
However, if the price moves sideways while maintaining a certain interval after rising, it means that someone is trying to maintain the price.
Therefore, when it shows a movement that breaks through the sideways section, it should be considered that there is a possibility that a large wave will occur.
The wave can be either upward or downward.
Therefore, it is necessary to be careful not to jump into a purchase with the idea that it will definitely rise in the future just because it moves sideways.
A box section is set at both ends of the sideways section.
Therefore, it is recommended to proceed with a purchase in installments when it shows support after entering this box section.
In other words, it is important to check the support in the 1.5-1.9669 section or the 25641-2.6013 section.
You can see that the HA-Low indicator and the HA-High indicator are converging.
Therefore, if this convergence is broken, it is expected that a trend will be formed.
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Like this, you should measure the price position of the sideways movement and the width of the sideways movement well and think in advance about whether to proceed with the transaction when it deviates from that range.
Otherwise, if you start trading after the wave has already started, you may end up giving up the transaction because you cannot overcome the wave.
Since it is not known when the movement will start once the sideways movement starts, individual investors easily get tired.
Therefore, when the coin (token) you want to trade shows a sideways movement, it is recommended to increase the number of coins (tokens) corresponding to the profit while conducting short-term trading (day trading).
If you do this, you will naturally be able to see how the sideways waves change, and you will be able to hold out until a big wave starts.
I think there are quite a few people who are not familiar with day trading and say they will buy at once when the wave starts.
If you can hold out well against the wave, you will get good results, but there is a possibility that the trade will fail 7-8 times out of 10, so if possible, it is good to get used to the feeling by day trading coins (tokens) that show this sideways pattern.
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Thank you for reading to the end.
I hope you have a successful trade.
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Most Traders React to Markets. The Best Anticipate Them.Most Traders React to Markets. The Best Anticipate Them.
Hard truth:
You're always one step behind because you trade reactively.
You can’t win a race if you're always responding to moves already made.
Here's how reactive trading burns your edge:
- You chase breakouts after they've happened, entering at the peak.
- You panic-sell into downturns because you didn't anticipate.
- You miss major moves because you're looking backward, not forward.
🎯 The fix?
Develop anticipatory trading habits. Identify scenarios in advance, set clear triggers, and act decisively when probabilities align - not after the market confirms.
TrendGo provides structure for anticipation - not reaction.
🔍 Stop responding, start anticipating. Your account will thank you.
Intraday Gold Trading System with Neural Networks: Step-by-Step________________________________________
🏆 Intraday Gold Trading System with Neural Networks: Step-by-Step Practical Guide
________________________________________
📌 Step 1: Overview and Goal
The goal is to build a neural network system to predict intraday short-term gold price movements—typically forecasting the next 15 to 30 minutes.
________________________________________
📈 Step 2: Choosing Indicators (TradingView Equivalents)
Key indicators for intraday gold trading:
• 📊 Moving Averages (EMA, SMA)
• 📏 Relative Strength Index (RSI)
• 🌀 Moving Average Convergence Divergence (MACD)
• 📉 Bollinger Bands
• 📦 Volume Weighted Average Price (VWAP)
• ⚡ Average True Range (ATR)
________________________________________
🗃 Step 3: Data Acquisition (Vectors and Matrices)
Use Python's yfinance to fetch intraday gold data:
import yfinance as yf
import pandas as pd
data = yf.download('GC=F', period='30d', interval='15m')
________________________________________
🔧 Step 4: Technical Indicator Calculation
Use Python’s pandas_ta library to generate all required indicators:
import pandas_ta as ta
data = ta.ema(data , length=20)
data = ta.ema(data , length=50)
data = ta.rsi(data , length=14)
macd = ta.macd(data )
data = macd
data = macd
bbands = ta.bbands(data , length=20)
data = bbands
data = bbands
data = bbands
data = ta.atr(data , data , data , length=14)
data.dropna(inplace=True)
________________________________________
🧹 Step 5: Data Preprocessing and Matrix Creation
Standardize your features and shape data for neural networks:
from sklearn.preprocessing import StandardScaler
import numpy as np
features =
scaler = StandardScaler()
data_scaled = scaler.fit_transform(data )
def create_matrix(data_scaled, window_size=10):
X, y = ,
for i in range(len(data_scaled) - window_size - 1):
X.append(data_scaled )
y.append(data .iloc )
return np.array(X), np.array(y)
X, y = create_matrix(data_scaled, window_size=10)
________________________________________
🤖 Step 6: Neural Network Construction with TensorFlow
Use LSTM neural networks for sequential, time-series prediction:
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense, Dropout
model = Sequential( , X.shape )),
Dropout(0.2),
LSTM(32, activation='relu'),
Dense(1)
])
model.compile(optimizer='adam', loss='mse')
________________________________________
🎯 Step 7: Training the Neural Network
history = model.fit(X, y, epochs=50, batch_size=32, validation_split=0.2)
________________________________________
📊 Step 8: Evaluating Model Performance
Visualize actual vs. predicted prices:
import matplotlib.pyplot as plt
predictions = model.predict(X)
plt.plot(y, label='Actual Price')
plt.plot(predictions, label='Predicted Price')
plt.xlabel('Time Steps')
plt.ylabel('Gold Price')
plt.legend()
plt.show()
________________________________________
🚦 Step 9: Developing a Trading Strategy
Translate predictions into trading signals:
def trade_logic(predicted, current, threshold=0.3):
diff = predicted - current
if diff > threshold:
return "Buy"
elif diff < -threshold:
return "Sell"
else:
return "Hold"
latest_data = X .reshape(1, X.shape , X.shape )
predicted_price = model.predict(latest_data)
current_price = data .iloc
decision = trade_logic(predicted_price, current_price)
print("Trading Decision:", decision)
________________________________________
⚙️ Step 10: Real-Time Deployment
Automate the model for live trading via broker APIs (pseudocode):
while market_open:
live_data = fetch_live_gold_data()
live_data_processed = preprocess(live_data)
prediction = model.predict(live_data_processed)
decision = trade_logic(prediction, live_data )
execute_order(decision)
________________________________________
📅 Step 11: Backtesting
Use frameworks like Backtrader or Zipline to validate your strategy:
import backtrader as bt
class NNStrategy(bt.Strategy):
def next(self):
if self.data.predicted > self.data.close + threshold:
self.buy()
elif self.data.predicted < self.data.close - threshold:
self.sell()
cerebro = bt.Cerebro()
cerebro.addstrategy(NNStrategy)
# Add data feeds and run cerebro
cerebro.run()
________________________________________
🔍 Practical Use-Cases
• ⚡ Momentum Trading: EMA crossovers, validated by neural network.
• 🔄 Mean Reversion: Trade at Bollinger Band extremes, validated with neural network predictions.
• 🌩️ Volatility-based: Use ATR plus neural net for optimal entry/exit timing.
________________________________________
🛠 Additional Recommendations
• Frameworks: TensorFlow/Keras, PyTorch, scikit-learn
• Real-time monitoring and risk management are crucial—use volatility indicators!
________________________________________
📚 Final Thoughts
This practical guide arms you to build, deploy, and manage a neural network-based intraday gold trading system—from data acquisition through backtesting—ensuring you have the tools for robust, data-driven, and risk-managed trading strategies.
________________________________________
Great analysing from smart analysis This Wyckoff Accumulation scenario on Gold was like a blueprint—every stage played out almost exactly as anticipated. From the Selling Climax (SC) to the Spring and Test, it was as if the market followed the textbook. Watching this unfold live last night was both thrilling and affirming. Truly, it was a masterclass in market behavior.
Analysis : mohsen mozafari nejad 😎
Minimize Big Losses by Managing your EmotionsHow many times have your emotions taken control in the middle of a trade? Fear, greed, or stress can be a trader’s worst enemy.
This analysis teaches you how to manage your emotions to avoid big losses and look at the crypto market with a more professional eye.
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on PEPE :
PEPE is testing a strong daily trendline alongside key Fibonacci support, signaling a potential upside of at least 30%, targeting 0.000016 . Keep an eye on this confluence for a solid entry point.
Now , let's dive into the educational section,
💡 Market Psychology and Emotional Management
Crypto markets are highly volatile, which triggers strong emotions in traders. Fear of missing out (FOMO) and greed are two of the biggest enemies of any trader. Without emotional control, it’s easy to fall into bad trades.
The first step in managing emotions is recognizing your behavioral patterns. Once you know when fear or greed kicks in, you can adjust your trading plan accordingly.
Second, stick to a clear trading plan. Whether the market is crashing or pumping hard, stay loyal to your strategy and make decisions based on logic and analysis—not feelings.
🛠 TradingView Tools and Indicators to Manage Emotions
First off, TradingView tools aren’t just for technical analysis—they can help you control emotions and impulses in your trades. One of the best indicators is the Relative Strength Index (RSI), which clearly shows whether the market is overbought (extreme greed) or oversold (extreme fear).
Using RSI, you can spot moments when the market is too emotional—either overly optimistic or fearful—and avoid impulsive decisions. For example, when RSI rises above 70, the market may be too greedy, signaling you to hold back from jumping in hastily.
Besides RSI, indicators like MACD and Bollinger Bands help you better visualize trends and volatility, allowing you to avoid emotional entry or exit points.
The key is to combine these indicators with awareness of market psychology, making them powerful tools to manage your feelings while trading crypto.
📊 Practical Use of Indicators to Avoid Big Losses
Imagine you entered a Bitcoin long position. By watching RSI and MACD, you can pinpoint better entry and exit points.
If RSI is above 70 and MACD shows a reversal signal, a price correction is likely. In such cases, trade cautiously or consider exiting to avoid significant losses.
Additionally, setting stop-loss orders based on support/resistance levels identified by Bollinger Bands is another key risk management strategy. This keeps your losses controlled and within acceptable limits, even if the price moves suddenly.
⚡️ The Psychology of Loss and Greed — Two Big Trader Traps
After losing, it’s natural to want to recover quickly, but that’s where greed often leads to risky, poorly thought-out trades. To break this harmful cycle:
Focus on the size of your losses, not just your profits
Take a break from trading after a loss to calm your emotions
Use TradingView tools for thorough analysis and never let feelings drive your decisions
🔍 Final Advice
Managing emotions is the backbone of successful trading in highly volatile crypto markets. Smart use of technical indicators like RSI, MACD, and Bollinger Bands, combined with self-awareness and strict adherence to your trading plan, can drastically reduce big losses and maximize gains. Always remember to view the market through a logical lens, not an emotional one.
✨ Need a little love!
We put so much love and time into bringing you useful content & your support truly keeps us going. don’t be shy—drop a comment below. We’d love to hear from you! 💛
Big thanks,
Mad Whale 🐋
📜Please remember to do your own research before making any investment decisions. Also, don’t forget to check the disclaimer at the bottom of each post for more details.
Mastering Liquidity Dynamics: Understand the Dynamic True ValueDear Reader,
Thank you for reading—your time is valuable.
Use the chart's zoom-in/out (-/+) function for better visibility. This chart captures a large sample for your evaluation.
Below is the manual detailing the Smart Farmer System —a Dynamic True Value framework derived from real-time data to anticipate market intent and liquidity behavior .
If this resonates with you, drop a comment below— constructive insights are always welcome .
The Dynamic True Value - a Smart Farmer System: Terminology and Mechanics
: For now, I have firmed up POC - Price of Control, VAP - Value Average Pricing, SULB - Sell Upper Limit Bound, BLLB - Buy Lower Limit Bound.
Mechanic:
POC - Where fair value price dynamic is read.
VAP - Trading above indicates bullish sentiment of the cycle, and the opposite for bearish sentiment.
A crossed over of:
Grey POC above Green VAP - Signaling distribution, accumulation, consolidation, build-ups, correction, retracement .
Green VAP above Grey POC - Bullish strength and momentum consistency .
Pink VAP above Black POC - Bearish strength and momentum consistency .
Flip of Pink VAP to Green VAP - Sentiment flips from bear to bull, and the same goes for green flip to pink showing bull to bear.
Validation of entry signals requires:
Signal's candle must close past the opposite side of POC – flip sentiment .
The confirmation candle (is the closed next candle immediately after entry signal candle) must continue closed past the POC – maintain sentiment .
The progress candle (is the next candle closed right after the Confirmation Candle) shows traction, momentum build-up, and volume consistency .
Hint of invalidation:
Signal's candle is considered void if the next candle prints a new entry signal in the opposite direction. This often signals accumulation, sideways movement, build-up, uncertainty, or swings in range .
The immediate next candle closed past POC to the opposite side.
What to understand about Liquidity Trap, SULB, and BLLB:
Liquidity traps
Often occur at the recent/previous flatlines of Dynamic True Value (POC, VAP, SULB, BLLB) .
It is worth paying attention to the market’s intent and institutional positioning.
Signs of exhaustion, absorption, inducement, offloading, and accumulation are visible in the M1 (one-minute) TF, with significant confluence near the previous/recent flatlines of Dynamic True Value in the higher/macro-TFs.
An Anchored VWAP tool can be helpful for filtering noise in the market. This tool can be found in the drawing tab in the TradingView platform.
SULB
Details the dynamic of upper resistance where Bears remain in control below the dynamic level.
Below this limit bound (LB) , bears show strength – bear sentiment .
A converging price toward this LB indicates bulls are present.
Moving past this LB (a candle closed above) and successfully RETESTING newly formed support indicates a confirmed directional shift . Followed by printing a new BLLB in the next following candles with price continuing to rise above this failed SULB.
A rejection below LB (a rejection/exhausted candle closed below LB) and successful RETEST reaffirms the resistance holds , indicating downside continuation .
BLLB
Details the dynamic of lower support where Bulls remain in control above the dynamic level.
Above this LB, bulls show strength – bull sentiment .
A converging price toward this LB signifies bears are present.
Moving past this LB (a candle closed below) and successfully RETESTING newly formed resistance indicates a confirmed directional shift . Followed by printing a new SULB in the next following candles with price continuing to push lower below this failed BLLB.
A rejection above LB (a rejection/exhausted candle closed above LB) and successful RETEST reaffirms the support holds , indicating upward continuation .
Important Notes:
Select preferred Entry’s Signal TF (ex. M3 TF, M5 TF for scalping strategy, M15 for intraday/daily strategy, 4H TF for day-to-weekly strategy, etc.).
Always refer to the selected Entry’s TF for trading progress. Anticipate TP and SL by watching the range in this TF.
Non-entry TFs are not for entry purposes. These multi-TFs are used for measuring strength, momentum, liquidity, positioning, structure – The market intends . The Non-entry TF is used to anticipate institutional executions and liquidity pools.
These criteria MUST BE MET. A failed criterion suggests vague execution. Be patient and wait for clear validations.
Institutions excel in creating illusions.
SFS is designed to stand ready, calm, and execute with Clarity.
SFS cuts through noise, distraction, and stays independent of NEWS, GEOPOLITIC, RUMORS, and herd mentality because all these are designed to mislead retail traders into institutional traps.
When we see such ambiguity against the criteria, we know not to fall into the TRAP and become the liquidity FUEL.
Stay sharp, only respond when signals are firmed. SFS is designed to counter Smart Money capitalism. It is about time to level the playing field.
Differences Between Trading Stock Market and Coin Market
Hello, traders.
If you "Follow", you can always get new information quickly.
Have a nice day today.
-------------------------------------
Please read with a light heart.
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Trading stock market and coin market seem similar, but they are very different.
In stock market, you have to buy and sell 1 share at a time, but in coin market, you can buy and sell in decimals.
This difference makes a big difference in buying and selling.
In the stock market, you should buy when the price is rising from a low price if possible.
The reason is that since you buy in units of 1 week, you have to invest more money when you sell and then buy to buy 1 week.
I think the same goes for the coin market, but since you can buy in decimal units, you have the advantage of being able to buy at a higher price than when you buy in the stock market.
For example, if you sell and then buy again at the same price, the number of coins (tokens) will decrease, but there will be no cases where you can't buy at all.
Therefore, the coin market is an investment market where you can trade at virtually any price range.
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In terms of profit realization, the stock market can only be traded in a way that earns cash profits.
The reason is that, as I mentioned earlier, since you have to trade in units of 1 week, there are restrictions on trading.
However, in the coin market, in addition to the method of earning cash profits, you can also increase the number of coins (tokens) corresponding to the profits.
The biggest advantage of increasing the number of coins (tokens) corresponding to profit is that you can get a large profit in the long term, and the burden of the average purchase price when conducting a transaction is reduced.
When the price rises by purchase price, if you sell the purchase amount (+ including the transaction fee), the coins (tokens) corresponding to profit will remain.
Since these coins (tokens) have an average purchase price of 0, they always correspond to profit even if there is volatility.
In addition, even if the price falls and you buy again, the average purchase price is set low, so it plays a good role in finding the right time to buy and starting a transaction.
Of course, when the number of coins (tokens) corresponding to profit is small, it does not have a big effect on the average purchase price, but as the number increases, you will realize its true value.
You can also get some cash when you increase the number of coins (tokens) corresponding to profit.
When selling, if you add up the purchase price + transaction fee X 2~3, you can also get some cash profit.
If you get cash profit, the number of coins (tokens) remaining will decrease, so you can adjust it well according to the situation.
When the profit is large, increase the cash profit slightly, and when you think the profit is small, decrease the cash profit.
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Therefore, when you first move from the stock market to the coin market and start trading, you will experience that the trading is not going well for some reason.
In the stock market, there are some restrictions on the rise and fall, but in the coin market, there are no restrictions, so it is not easy to respond.
However, as I mentioned earlier, the biggest problem is the difference in the transaction unit.
When trading in the stock market, you need to check various announcements and issues in addition to the chart and determine how this information affects the stock or theme you want to trade.
This is because trading is not conducted 24 hours a day, 365 days a year like the coin market.
This is because if an announcement or issue occurs during a non-trading period, the stock market may rise or fall significantly when trading begins.
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When using my chart on a stock chart, the basic trading strategy is to buy near the HA-Low indicator and sell near the HA-High indicator.
However, if you want to buy more, you can buy more when the M-Signal of the 1D chart > M-Signal of the 1W chart, and it shows support near the M-Signal indicator of the 1W chart.
In the stock chart, it is recommended to trade when the M-Signal indicators of the 1D, 1W, and 1M charts are aligned.
The reason is that, as I mentioned earlier, trading must be done in 1-week units, so the timing of the purchase is important.
In the coin chart, you can actually trade when it shows support at the support and resistance points.
However, since trading is possible 24 hours a day, 365 days a year, even if it shows support at the support and resistance points, psychological anxiety due to volatility increases, so it is recommended to proceed with trading according to the basic trading strategy.
The creation of the HA-Low indicator means that it has risen from the low range, and the creation of the HA-High indicator means that it has fallen from the high range.
Therefore, if it shows support near the HA-Low indicator, it is likely to rise, and if it shows resistance near the HA-High indicator, it is likely to fall.
However, on the contrary, if it is supported and rises at the HA-High indicator, it is likely to show a stepwise rise, and if it is resisted and falls at the HA-Low indicator, it is likely to show a stepwise fall.
In order to confirm this movement, you need to invest a lot of time and check the situation in real time.
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Thank you for reading to the end.
I hope you have a successful transaction.
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Guide: How to Read the Smart Farmer SystemDear Reader , Thank you for tuning in to my first video publication.
This video explains the 3-step signal validation process—helping you quickly and precisely anticipate market intent and liquidity dynamics before taking action.
We do not react to noise; we respond with structured execution because we understand the market’s true game.
Listen to the market— this guide is here to sharpen your journey.
Correction Notice (16:58 timestamp): A slight clarification on the statement regarding signal validation :
SELL signals: The trading price must close BELOW the Price of Control (POC) and Value Average Pricing (VAP) without invalidation occurring in both the confirmation candle and progress candle.
BUY signals: The trading price must close ABOVE the Price of Control (POC) and Value Average Pricing (VAP) without invalidation occurring in both the confirmation candle and progress candle.
Multiple signals indicate liquidity games are actively unfolding, including accumulation, control, distribution, and offloading.
Quick Lesson: Slow & Fast Flows (Study it & Benefit in Trading)It is always important to look not only at levels (supports/resistances), but how exactly price moves within them.
On the left side , we see a slow flow—a controlled and gradual decline. Sellers are patient, offloading positions over time into visible liquidity levels. Each dip is met with small bids, creating a staircase-like drop. This kind of move doesn’t trigger panic immediately, but it’s dangerous because it builds up pressure. Eventually, when buyers dry up, a larger breakdown happens.
On contrary, the right side shows a fast flow. Here, a large sell order slams into a thin order book, causing an immediate price spike down. There's little resistance, and multiple levels are skipped. This creates an inefficient move, often forming a sharp wick. These fast drops are typically caused by fear, liquidation, or aggressive exit orders. But what’s interesting is the recovery: because the move was so aggressive and liquidity was so thin, price can snap back up quickly. These are often V-shaped reversals with low resistance on the way back.
Try to look for such setups on the chart and learn how the price behaves . Studying such cases will help you identifying upcoming sell-offs/pumps and earn on them.
Uncontrolled Greed: Save Your Portfolio by these strategies Think fear is the only emotion causing big losses? Think again — this time, it’s all about greed .
🤯 That feeling when you don’t close a profitable position because you think it still has room .
📉 Let’s dive into the chart and see how even pro traders fall into the greed trap .
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on Bitcoin:
Bitcoin is currently testing a major monthly trendline alongside a key daily support zone, both aligning with Fibonacci retracement levels.📐 This confluence suggests a potential upside move of at least 9%, with a primary target projected near the $116,000 mark .📈 Market participants should watch this level closely as it may serve as a pivot for mid-term price action.
Now , let's dive into the educational section,
🧠 The Psychology of Greed in Trading
Greed speaks quietly but hits hard. It whispers: “Just a bit more. Let it run.”
But that’s the same voice that turns green into deep red. Markets don’t care about your dreams.
When a small win turns into a big loss — that’s greed in action.
No one knows the top. Trying to predict it out of emotion is how portfolios get wrecked.
Greed often spikes after multiple winning trades — when overconfidence kicks in.
That’s when you need data, not dopamine.
📊 TradingView Tools That Help Tame Greed
TradingView isn’t just a charting platform — if used right, it can be your emotional assistant too.
Start with RSI . When it crosses above 70, it signals overbought zones — prime time for greedy entries.
Volume Profile shows you where the smart money moves. If you see high volume at price peaks, it’s often too late to jump in.
Set up Alerts to get notified when your indicators hit key levels — avoid reacting in real-time chaos.
Use Replay Mode to rewatch old setups and identify where greed affected your past decisions.
Customize Chart Layouts per market type. Having a focused view helps you act based on logic, not emotion.
🛡 Strategies to Defeat Greed
Pre-define your take-profit and stop-loss before you enter. Non-negotiable.
Create a Psych Checklist: “Am I trading based on a missed move? Or a solid signal?”
After every trade, reflect on what drove your decisions — fear, logic, or greed?
Take a trading break after a streak of wins. That’s when greed loves to sneak in.
Withdraw a portion of your profits to reinforce the habit of securing gains.
Practice on demo during volatile days to build emotional discipline.
Never try to win back all losses in one trade — that’s greed’s playground.
If you're sizing up every position just because "the market is hot", pause.
Focus on surviving, not conquering. Long-term traders are calm, not greedy.
✅ Wrap-Up
In crypto's wild swings, greed destroys faster than any technical mistake.
Enter with a plan. Exit with purpose. Greed-based trades usually end with regret.
Emotional control equals long-term survival. Trade smart — not just hungry
📜 Please remember to do your own research before making any investment decisions. Also, don’t forget to check the disclaimer at the bottom of each post for more details.
✨ Need a little love!
We put so much love and time into bringing you useful content & your support truly keeps us going. don’t be shy—drop a comment below. We’d love to hear from you! 💛
Big thanks ,
Mad Whale 🐋
Reading The Room: Market Sentiment TechnicalsThe Market Sentiment Technicals indicator, created by LuxAlgo , is a powerful tool that blends multiple technical analysis methods into a single, easy-to-read sentiment gauge. It’s designed to help traders quickly assess whether the market is bullish, bearish, or neutral by synthesizing data from trend, momentum, volatility, and price action indicators.
🧠 How We Use It at Xuantify
At @Xuantify , we integrate this indicator into our multi-layered strategy stack. It acts as a market context filter , helping us determine whether to engage in trend-following, mean-reversion, or stay on the sidelines. We use it across multiple timeframes to validate trade setups and avoid false signals during choppy conditions. This example uses MEXC:SOLUSDT.P , symbols like BINANCE:BTCUSDT or BINANCE:ETHUSDT are fine to use as well.
⭐ Key Features
Sentiment Panel: Displays normalized sentiment scores from various indicators.
Market Sentiment Meter: A synthesized score showing overall market bias. (Below image)
Oscillator View: Visualizes trend strength, momentum, and potential reversals.
Divergence Detection: Highlights when price action and sentiment diverge.
Market Sentiment Meter: A synthesized score showing overall market bias.
💡 Benefits Compared to Other Indicators
All-in-One : Combines multiple indicators into one cohesive tool.
Noise Reduction : Filters out conflicting signals by averaging sentiment.
Visual Clarity : Histogram and oscillator formats make interpretation intuitive.
Adaptability : Works across assets and timeframes.
⚙️ Settings That Matter
Smoothing Length: Adjusts how reactive the sentiment is to price changes.
Indicator Weighting: Customize which indicators influence the sentiment more.
Oscillator Sensitivity: Fine-tune for scalping vs. swing trading.
📊 Enhancing Signal Accuracy
We pair this indicator with:
Volume Profile: To confirm sentiment with institutional activity.
VWAP: For intraday mean-reversion setups.
Breakout Tools: To validate momentum during sentiment spikes.
🧩 Best Combinations with This Indicator
LuxAlgo Premium Signals: For entry/exit confirmation.
Relative Volume (RVOL): To gauge conviction behind sentiment shifts.
ADX/DMI: To confirm trend strength when sentiment is extreme.
⚠️ What to Watch Out For
Lag in Consolidation: Sentiment may flatten during sideways markets.
Overfitting Settings: Avoid tweaking too much—stick to tested configurations.
False Divergences: Always confirm with price structure or volume.
🚀 Final Thoughts
The Market Sentiment Technicals indicator is a game-changer for traders who want a 360° view of market psychology . At Xuantify, it’s become a cornerstone of our decision-making process—especially in volatile conditions where clarity is key.
🔔 Follow us for more educational insights and strategy breakdowns!
We break down tools like this weekly—follow @Xuantify to stay ahead of the curve.
The 10 probabilistic outcomes of any given trade ideaOutlined below, I have come to the conclusion that there are 10, most probable trade outcomes of any given trade idea.
After seeing these outcomes, one can see what outcome is the most challenging for a trader to handle. Everyone is different and can tolerate different scenarios.
Warren Buffett's Approach to Long-Term Wealth BuildingUnderstanding Value Investing: Warren Buffett's Educational Approach to Long-Term Wealth Building
Learn the educational principles behind value investing and dollar-cost averaging strategies, based on historical market data and Warren Buffett's documented investment philosophy.
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Introduction: The Million-Dollar Question Every Investor Asks
Warren Buffett—the Oracle of Omaha—has consistently advocated that index fund investing provides a simple, educational approach to long-term wealth building for most investors.
His famous 2007 bet against hedge funds proved this principle in dramatic fashion: Buffett wagered $1 million that a basic S&P 500 index fund would outperform a collection of hedge funds over 10 years. He crushed them. The S&P 500 returned 7.1% annually while the hedge funds averaged just 2.2%.
Today, we'll explore the educational principles behind this approach—examining historical data, mathematical concepts, and implementation strategies for learning purposes.
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Part 1: Understanding Value Investing for Modern Markets
Value investing isn't about finding the next GameStop or Tesla. It's about buying quality assets at attractive prices and holding them for compound growth .
For beginners, this translates to:
Broad Market Exposure: Own a cross-section of businesses through low-cost index funds
Long-term Perspective: Think decades, not months
Disciplined Approach: Systematic investing regardless of market noise
"Time is the friend of the wonderful business, the enemy of the mediocre." - Warren Buffett
Real-World Application:
Instead of trying to pick between NASDAQ:AAPL , NASDAQ:MSFT , or NASDAQ:GOOGL , you simply buy AMEX:SPY (SPDR S&P 500 ETF) and own pieces of all 500 companies automatically.
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Part 2: Dollar-Cost Averaging - Your Secret Weapon Against Market Timing
The Problem: Everyone tries to time the market. Studies show that even professional investors get this wrong 70% of the time.
The Solution: Dollar-Cost Averaging (DCA) eliminates timing risk entirely.
How DCA Works:
Decide on your total investment amount (e.g., $24,000)
Split it into equal parts (e.g., 12 months = $2,000/month)
Invest the same amount on the same day each month
Ignore market fluctuations completely
DCA in Action - Real Example:
Let's say you started DCA into AMEX:SPY in January 2022 (right before the bear market):
January 2022: AMEX:SPY at $450 → You buy $1,000 worth (2.22 shares)
June 2022: AMEX:SPY at $380 → You buy $1,000 worth (2.63 shares)
December 2022: AMEX:SPY at $385 → You buy $1,000 worth (2.60 shares)
Result: Your average cost per share was $405, significantly better than the $450 you would have paid with a lump sum in January.
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Part 3: The Mathematics of Wealth Creation
Here's where value investing gets exciting. Let's run the actual numbers using historical S&P 500 returns:
Historical Performance:
- Average Annual Return: 10.3% (1957-2023)
- Inflation-Adjusted: ~6-7% real returns
- Conservative Estimate: 8% for planning purposes
Scenario 1: The $24K Start
Initial Investment: $24,000 | Annual Addition: $2,400 | Return: 8%
Calculation Summary:
- Initial Investment: $24,000
- Annual Contribution: $2,400 ($200/month)
- Expected Return: 8%
- Time Period: 20 years
Results:
- Year 10 Balance: $86,581
- Year 20 Balance: $221,692
- Total Contributed: $72,000
- Investment Gains: $149,692
Scenario 2: The Aggressive Investor
Initial Investment: $60,000 | Annual Addition: $6,000 | Return: 10%
Historical example after 20 years: $747,300
- Total Contributed: $180,000
- Calculated Investment Gains: $567,300
Educational Insight on Compound Returns:
This historical example illustrates how 2% higher returns (10% vs 8%) could dramatically impact long-term outcomes. This is why even small differences in return rates can create life-changing wealth over decades. The mathematics of compound growth are both simple and incredibly powerful.
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Part 4: Investing vs. Savings - The Shocking Truth
Let's compare the same contributions invested in stocks vs. a high-yield savings account:
20-Year Comparison:
- Stock Investment (8% return): $221,692
- High-Yield Savings (5% return): $143,037
- Difference: $78,655 (55% more wealth!)
"Compound interest is the eighth wonder of the world. He who understands it, earns it... he who doesn't, pays it." - Often attributed to Einstein
Key Insight: That extra 3% annual return created an additional $78,655 over 20 years. Over 30-40 years, this difference becomes truly life-changing.
📍 Global Savings Reality - The Investment Advantage Worldwide:
The power of index fund investing becomes even more dramatic when we examine savings rates around the world. Here's how the same $24K initial + $2,400 annual investment compares globally:
🇯🇵 Japan (0.5% savings):
- Stock Investment: $221,692
- Savings Account: $76,868
- Advantage: $144,824 (188% more wealth)
🇪🇺 Western Europe Average (3% savings):
- Stock Investment: $221,692
- Savings Account: $107,834
- Advantage: $113,858 (106% more wealth)
🇬🇷 Greece/Southern Europe (2% savings):
- Stock Investment: $221,692
- Savings Account: $93,975
- Advantage: $127,717 (136% more wealth)
🇰🇷 South Korea (2.5% savings):
- Stock Investment: $221,692
- Savings Account: $100,634
- Advantage: $121,058 (120% more wealth)
💡 The Global Lesson:
The lower your country's savings rates, the MORE dramatic the advantage of global index fund investing becomes. For investors in countries with minimal savings returns, staying in cash is essentially guaranteed wealth destruction when compared to broad market investing.
This is exactly why Warren Buffett's advice transcends borders - mathematical principles of compound growth work the same whether you're in New York, London, or Athens.
Note: Savings rates shown are approximate regional averages and may vary by institution and current market conditions. Always check current rates in your specific market for precise calculations.
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Part 5: Building Your Value Investing Portfolio
Core Holdings (80% of portfolio):
AMEX:SPY - S&P 500 ETF (Large-cap US stocks)
AMEX:VTI - Total Stock Market ETF (Broader US exposure)
LSE:VUAA - S&P 500 UCITS Accumulating (Tax-efficient for international investors)
Satellite Holdings (20% of portfolio):
NASDAQ:QQQ - Technology-focused (Higher growth potential)
AMEX:VYM - Dividend-focused (Income generation)
NYSE:BRK.B - Berkshire Hathaway (Value investing & diversification)
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Part 6: Implementation Strategy - Your Action Plan
Month 1: Foundation
Open a brokerage account (research low-cost brokers available in your region)
Set up automatic transfers from your bank
Buy your first AMEX:SPY shares
💡 Broker Selection Considerations:
Traditional Brokers: Interactive Brokers, Fidelity, Vanguard, Schwab
Digital Platforms: Revolut, Trading 212, eToro (check availability in your country)
Key Factors: Low fees, ETF access, automatic investing features, regulatory protection
Research: Compare costs and features for your specific location/needs
Month 2-12: Execution
Invest the same amount on the same day each month
Ignore market news and volatility
Track your progress in a simple spreadsheet
Year 2+: Optimization
Increase contributions with salary increases
Consider additional core holdings like LSE:VUAA for tax efficiency
Consider tax-loss harvesting opportunities
Visualizing Your DCA Strategy
Understanding DCA concepts is easier when you can visualize the results. TradingView offers various tools to help you understand investment strategies, including DCA tracking indicators like the DCA Investment Tracker Pro which help visualize long-term investment concepts.
🎯 Key Visualization Features:
These types of tools typically help visualize:
Historical Analysis: How your strategy would have performed using real market data
Growth Projections: Educational scenarios showing potential long-term outcomes
Performance Comparison: Comparing actual vs theoretical DCA performance
Volatility Understanding: How different stocks behave with DCA over time
📊 Real-World Examples from Live Users:
Stable Index Investing Success:
AMEX:SPY (S&P 500) Example: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking.
Value Investing Approach:
NYSE:BRK.B (Berkshire Hathaway): Warren Buffett's legendary performance through DCA lens. The indicator demonstrates how quality value companies compound wealth over decades. Lower volatility = standard CAGR calculations used.
High-Volatility Stock Management:
NASDAQ:NVDA (NVIDIA): Shows smart volatility detection in action. NVIDIA's explosive AI boom creates extreme years that trigger automatic switch to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates.
Tech Stock Long-Term Analysis:
NASDAQ:META (Meta Platforms): Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. Standard CAGR calculations demonstrate stable long-term growth.
⚡ Educational Application:
When using visualization tools on TradingView:
Select Your Asset: Choose the stock/ETF you want to analyze (like AMEX:SPY )
Input Parameters: Enter your investment amounts and time periods
Study Historical Data: See how your strategy would have performed in real markets
Understand Projections: Learn from educational growth scenarios
🎓 Educational Benefits:
This tool helps you understand:
- How compound growth actually works in real markets
- The difference between volatile and stable investment returns
- Why consistent DCA often outperforms timing strategies
- How your current performance compares to historical market patterns
- The visual power of long-term wealth building
As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time through actual market data and educational projections.
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Part 7: Common Mistakes to Avoid
The "Perfect Timing" Trap
Waiting for the "perfect" entry point often means missing years of compound growth. Time in the market beats timing the market.
The "Hot Stock" Temptation
Chasing individual stocks like NASDAQ:NVDA or NASDAQ:TSLA might seem exciting, but it introduces unnecessary risk for beginners.
The "Market Crash" Panic
Every bear market feels like "this time is different." Historical data shows that patient investors who continued their DCA through 2008, 2020, and other crashes were handsomely rewarded.
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Conclusion: Your Path to Financial Freedom
Value investing through broad index funds and dollar-cost averaging isn't glamorous. You won't get rich overnight, and you won't have exciting stories about your latest trade.
But here's what you will have:
Proven strategy backed by decades of data
Peace of mind during market volatility
Compound growth working in your favor 24/7
A realistic path to serious wealth creation
The Bottom Line: Warren Buffett's approach works because it's simple, sustainable, and based on fundamental economic principles. Start today, stay consistent, and let compound growth do the heavy lifting.
"Someone's sitting in the shade today because someone planted a tree a long time ago." - Warren Buffett
Educational Summary:
Understanding these principles provides a foundation for informed decision-making. As Warren Buffett noted: "The best time to plant a tree was 20 years ago. The second-best time is now" - emphasizing the educational value of understanding long-term investment principles early.
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🙏 Personal Note & Acknowledgment
This article was not entirely my own work, but the result of artificial intelligence in-depth research and information gathering. I fine-tuned and brought it to my own vision and ideas. While working with AI, I found this research so valuable for myself that I could not avoid sharing it with all of you.
I hope this perspective gives you a different approach to long-term investing. It completely changed my style of thinking and my approach to the markets. As a father of 3 kids, I'm always seeking the best investment strategies for our future. While I was aware of the power of compound interest, I could never truly visualize its actual power.
That's exactly why I also created the open-source DCA Investment Tracker Pro indicator - so everyone can see and visualize the benefits of choosing a long, steady investment approach. Being able to see compound growth in action makes all the difference in staying committed to a strategy.
As someone truly said: compound interest is the 8th wonder of the world.
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Disclaimer: This article is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult with a qualified financial advisor before making investment decisions.
VWMA : Example Volume weighted Moving Average
🔍 VWMA in Crypto Trading
Smarter than simple MAs. Powered by volume.
What is VWMA?
🎯 VWMA = Price + Volume Combined
Unlike SMA/EMA, VWMA gives more weight to high-volume candles.
✅ Shows where the real trading pressure is.
Why Use VWMA?
💥 Volume Confirms Price
Price movement + High Volume = Stronger Signal
VWMA adjusts faster when volume spikes
📊 More reliable in volatile crypto markets.
Some VWMA Settings
📊 Optimal VWMA Periods by Timeframe
🕒 15m – VWMA 20 → For scalping
🕞 30m – VWMA 20/30 → Intraday breakouts
🕐 1h – VWMA 30/50 → Trend filter + RSI combo
🕓 4h – VWMA 50/100 → Swing trading
📅 1D – VWMA 50/100/200 → Macro trend + S/R levels
Go through different settings to see what suits you best.
VWMA in Action
📈 Price Above VWMA = Bullish Strength
More confidence in uptrend
Especially valid during high volume surges
🟢 Great confluence with MA 7/9 in short-term setups
Dynamic Support/Resistance
🛡️ VWMA Reacts to Market Strength
Acts as dynamic support or resistance—especially when volume increases.
Useful in catching pullback entries or trailing SLs.
🚦 Filter Fakeouts with VWMA + MA
✅ Use in confluence for stronger edge.
Tips for VWMA
📌 Use shorter VWMA (20–30) for entries
📌 Use longer VWMA (50–200) for trend validation
🎯 Works best in trending, high-volume conditions
An example of a new way to interpret the OBV indicator
Hello, traders.
If you "follow", you can always get new information quickly.
Have a nice day today.
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I think the reason why there are difficulties in using auxiliary indicators and why they say not to use indicators is because they do not properly reflect the price flow.
Therefore, I think many people use indicators added to the price part because they reflect the price flow.
However, I think auxiliary indicators are not used that much.
Among them, indicators related to trading volume are ambiguous to use and interpret.
To compensate for this, the OBV indicator has been modified and added.
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The ambiguous part in interpreting the OBV indicator is that the price flow is not reflected.
Therefore, even if it performs its role well as an auxiliary indicator, it can be difficult to interpret.
To compensate for this, the High Line and Low Line of the OBV auxiliary indicator have been made to be displayed in the price section.
That is, High Line = OBV High, Low Line = OBV Low
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Then, let's interpret the OBV at the current price position.
The OBV of the auxiliary indicator is currently located near the OBV EMA.
That is, the current OBV is located within the Low Line ~ High Line section.
However, if you look at the OBV High and OBV Low indicators displayed in the price section, you can see that it has fallen below the OBV Low indicator.
In other words, you can see that the price has fallen below the Low Line of the OBV indicator.
You can see that the OBV position of the auxiliary indicator and the OBV position displayed in the price section are different.
Therefore, in order to normally interpret the OBV of the auxiliary indicator, the price must have risen above the OBV Low indicator in the price section.
If not, you should consider that the interpretation of the OBV of the auxiliary indicator may be incorrect information.
In other words, if it fails to rise above the OBV Low indicator, you should interpret it as a high possibility of eventually falling and think about a countermeasure for that.
Since time frame charts below the 1D chart show too fast volatility, it is recommended to use it on a 1D chart or larger if possible.
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It is not good to analyze a chart with just one indicator.
Therefore, you should comprehensively evaluate by adding different indicators or indicators that you understand.
The indicators that I use are mainly StochRSI indicator, OBV indicator, and MACD indicator.
I use these indicators to create and use M-Signal indicator, StochRSI(20, 50, 80) indicator, and OBV(High, Low) indicator.
DOM(60, -60) indicator is an indicator that comprehensively evaluates DMI, OBV, and Momentum indicators to display high and low points.
And, there are HA-Low, HA-High indicators, which are my basic trading strategy indicators that I created for trading on Heikin-Ashi charts.
Among these indicators, the most important indicators are HA-Low, HA-High indicators.
The remaining indicators are auxiliary indicators that are necessary when creating trading strategies or detailed response strategies from HA-Low, HA-High indicators.
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Thank you for reading to the end.
I hope you have a successful trade.
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Volume Speaks Louder: My Custom Volume Indicator for Futures
My Indicator Philosophy: Think Complex, Model Simple
In my first “Modeling 101” class as an undergrad, I learned a mantra that’s stuck with me ever since: “Think complex, but model simple.” In other words, you can imagine all the complexities of a system, but your actual model doesn’t have to be a giant non-convex, nonlinear neural network or LLM—sometimes a straightforward, rule-based approach is all you need.
With that principle in mind, and given my passion for trading, I set out to invent an indicator that was both unique and useful. I knew countless indicators already existed, each reflecting its creator’s priorities—but none captured my goal: seeing what traders themselves are thinking in real time . After all, news is one driver of the market, but you can’t control or predict news. What you can observe is how traders react—especially intraday—so I wanted a simple way to gauge that reaction.
Why intraday volume ? Most retail traders (myself included) focus on shorter timeframes. When they decide to jump into a trade, they’re thinking within the boundaries of a single trading day. They rarely carry yesterday’s logic into today—everything “resets” overnight. If I wanted to see what intraday traders were thinking, I needed something that also resets daily. Price alone didn’t do it, because price continuously moves and never truly “starts over” each morning. Volume, however, does reset at the close. And volume behaves like buying/selling pressure—except that raw volume numbers are always positive, so they don’t tell you who is winning: buyers or sellers?
To turn volume into a “signed” metric, I simply use the candle’s color as a sign function. In Pine Script, that looks like:
isGreenBar = close >= open
isRedBar = close < open
if (not na(priceAtStartHour))
summedVolume += isGreenBar ? volume : -volume
This way, green candles add volume and red candles subtract volume, giving me positive values when buying pressure dominates and negative values when selling pressure dominates. By summing those signed volumes throughout the day, I get a single metric—let’s call it SummedVolume—that truly reflects intraday sentiment.
Because I focus on futures markets (which have a session close at 18:00 ET), SummedVolume needs to reset exactly at session close. In Pine, that reset is as simple as:
if (isStartOfSession())
priceAtStartHour := close
summedVolume := 0.0
Once that bar (6 PM ET) appears, everything zeroes out and a fresh count begins.
SummedVolume isn’t just descriptive—it generates actionable signals. When SummedVolume rises above a user-defined Long Threshold, that suggests intraday buying pressure is strong enough to consider a long entry. Conversely, when SummedVolume falls below a Short Threshold, that points to below-the-surface selling pressure, flagging a potential short. You can fine-tune those thresholds however you like, but the core idea remains:
• Positive SummedVolume ⇒ net buying pressure (bullish)
• Negative SummedVolume ⇒ net selling pressure (bearish)
Why do I think it works: Retail/intraday traders think in discrete days. They reset their mindset at the close. Volume naturally resets at session close, so by signing volume with candle color, I capture whether intraday participants are predominantly buying or selling—right now.
Once again: “Think complex, model simple.” My Daily Volume Delta (DVD) indicator may look deceptively simple, but five years of backtesting have proven its edge. It’s a standalone gauge of intraday sentiment, and it can easily be combined with other signals—moving averages, volatility bands, whatever you like—to amplify your strategy. So if you want a fresh lens on intraday momentum, give SummedVolume a try.
Multi-Time Frame Analysis (MTF) — Explained SimplyWant to level up your trading decisions? Mastering Multi-Time Frame Analysis helps you see the market more clearly and align your trades with the bigger picture.
Here’s how to break it down:
🔹 What is MTF Analysis?
It’s the process of analyzing a chart using different time frames to understand market direction and behavior more clearly.
👉 Example: You spot a trade setup on the 15m chart, but you confirm trend and structure using the 1H and Daily charts.
🔹 Why Use It?
✅ Avoids tunnel vision
✅ Aligns your trades with the larger trend
✅ Confirms or filters out weak setups
✅ Helps you find strong support/resistance zones across time frames
🔹 The 3-Level MTF Framework
Use this to structure your chart analysis effectively:
Higher Time Frame (HTF) → Trend Direction & Key Levels
📅 (e.g., Daily or Weekly)
Mid Time Frame (MTF) → Structure & Confirmation
🕐 (e.g., 4H or 1H)
Lower Time Frame (LTF) → Entry Timing
⏱ (e.g., 15m or 5m)
🚀 If you’re not using MTF analysis, you might be missing critical market signals. Start implementing it into your strategy and notice the clarity it brings.
💬 Drop a comment if you want to see live trade examples using this method!
What is a Bearish Breakaway and How To Spot One!This Educational Idea consists of:
- What a Bearish Breakaway Candlestick Pattern is
- How its Formed
- Added Confirmations
The example comes to us from EURGBP over the evening hours!
Since I was late to turn it into a Trade Idea, perfect opportunity for a Learning Curve!
Hope you enjoy and find value!
Is Bitcoin Crashing or Just a Psychological Trap Unfolding?Is this brutal Bitcoin drop really a trend shift—or just another psychological game?
Candles tell a story every day, but only a few traders read it right.
In this breakdown, we decode the emotional traps behind price action and show you how not to fall for them.
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on Bitcoin:
📈 Bitcoin is currently respecting a well-structured ascending channel, with price action aligning closely with a key Fibonacci retracement level and a major daily support zone—both acting as strong technical confluence. Given the strength of this setup, a potential short-term move of at least +10% seems likely, while the broader structure remains supportive of an extended bullish scenario toward the $116K target. 🚀
Now , let's dive into the educational section,
🧠 The Power of TradingView: Tools That Spot the Mind Games
When it comes to psychological traps in the market, a huge part of them can be spotted by just looking at the candles—with the right tools. TradingView offers several free indicators and features that, when combined wisely, can act like an early warning system against emotional decisions. Let’s walk through a few:
Volume Profile (Fixed Range)
Use the “Fixed Range Volume Profile” to see where real money is moving. If large red candles appear in low-volume zones, it often signals manipulation, not genuine sell pressure.
RSI Custom Alerts
Don’t just set RSI alerts at overbought/oversold levels. When RSI crashes but price barely moves, you’re watching fear being injected into the market—without actual sellers stepping in.
Divergence Detectors (Free Scripts)
Use public scripts to auto-detect bullish divergences. These often pop up right during panic drops and are gold mines of opportunity—if you’re calm enough to see them.
These tools are not just technical—they’re psychological weapons . Master them and you’ll read the market like a mind reader.
🔍 The Candle Lies Begin
One big red candle does not equal doom. It usually equals setup. Panic is a requirement before reversals.
💣 Collective Fear: The Whales' Favorite Weapon
When everyone on social media screams “sell,” guess who’s quietly buying? The whales. Fear is their liquidity provider.
🧩 Liquidity Zones: The Real Target
If you can’t see liquidity clusters on your chart, you're blind to half the game. Sudden crashes often aim at stop-loss and liquidation zones.
🔄 Quick Recovery = Fake Breakdown
If a strong red move is followed by a sharp V-shaped bounce within 24 hours—it was likely a trap. Quick recovery often means fake fear.
⚔️ Why Most Retail Traders Sell the Bottom
The brain reacts late. By the time retail decides it’s time to sell, the big players are already buying.
🧭 Real Decision Tools Over Emotion
Combine RSI, divergences, and volume metrics to make your decisions. Your gut is not a strategy—your tools are.
📉 Fake Candles: How to Spot Them
A candle with huge body but weak volume? Red flag. Especially on low timeframes. Always confirm with volume.
🔍 Timeframes Trick the Mind
M15 always looks scarier than H4. Zoom out. What feels like a meltdown might just be a hiccup on the daily chart.
🎯 Final Answer: Crash or Trap?
When you overlay psychology on top of price, traps become obvious. Don't trade the fear—trade the setup behind it.
🧨 Final Note: Summary & Suggestion
Most crashes are emotional plays, not structural failures. Use TradingView’s tools to decode the fear and flip it to your advantage. Add emotional analysis to your charting, and the market will start making sense.
always conduct your own research before making investment decisions. That being said, please take note of the disclaimer section at the bottom of each post for further details 📜✅.
Give me some energy !!
✨We invest countless hours researching opportunities and crafting valuable ideas. Your support means the world to us! If you have any questions, feel free to drop them in the comment box.
Cheers, Mad Whale. 🐋
Explanation of indicators indicating high points
Hello, traders.
If you "Follow", you can always get new information quickly.
Have a nice day today.
-------------------------------------
(BTCUSDT 1D chart)
If it falls below the finger point indicated by the OBV indicator, it can be interpreted that the channel consisting of the High Line ~ Low Line is likely to turn into a downward channel.
And, if it falls to the point indicated by the arrow, it is expected that the channel consisting of the High Line ~ Low Line will turn into a downward channel.
Therefore, if it is maintained above the point indicated by the finger, I think it is likely to show a movement to rise above the High Line.
In this situation, the price is located near the M-Signal indicator on the 1D chart, so its importance increases.
To say that it has turned into a short-term uptrend, the price must be maintained above the M-Signal indicator on the 1D chart.
In that sense, the 106133.74 point is an important support and resistance point.
(1W chart)
The HA-High indicator is showing signs of being created at the 99705.62 point.
The fact that the HA-High indicator has been created means that it has fallen from the high point range.
However, since the HA-High indicator receives the value of the Heikin-Ashi chart, it indicates the middle point.
In other words, the value of Heikin-Ashi's Close = (Open + High + Low + Close) / 4 is received.
Since the HA-High indicator has not been created yet, we will be able to know for sure whether it has been created next week.
In any case, it seems to be about to be created, and if it maintains the downward candle, the HA-High indicator will eventually be created anew.
Therefore, I think it is important to be able to maintain the price by rising above the right Fibonacci ratio 2 (106178.85).
Indicators that indicate high points include DOM (60), StochRSI 80, OBV High, and HA-High indicators.
Indicators that indicate these high points are likely to eventually play the role of resistance points.
Therefore,
1st high point range: 104463.99-104984.57
2nd high point range: 99705.62-100732.01
You should consider a response plan depending on whether there is support near the 1st and 2nd above.
The basic trading strategy is to buy at the HA-Low indicator and sell at the HA-High indicator.
However, if it is supported and rises in the HA-High indicator, it is likely to show a stepwise rise, and if it is resisted and falls in the HA-Low indicator, it is likely to show a stepwise decline.
Therefore, the basic trading method should utilize the split trading method.
Other indicators besides the HA-Low and HA-High indicators are auxiliary indicators.
Therefore, the trading strategy in the big picture should be created around the HA-Low and HA-High indicators, and the detailed response strategy can be carried out by referring to other indicators according to the price movement.
In that sense, if we interpret the current chart, it should be interpreted that it is likely to show a stepwise rise since it has risen above the HA-High indicator.
However, you can choose whether to respond depending on whether there is support from other indicators that indicate the high point.
On the other hand, indicators that indicate the low point include the DOM (-60), StochRSI 20, OBV Low, and HA-Low indicators.
These indicators pointing to lows are likely to eventually serve as support points.
I will explain this again when the point pointing to the lows has fallen.
-
Thank you for reading to the end.
I hope you have a successful trade.
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- Here is an explanation of the big picture.
(3-year bull market, 1-year bear market pattern)
I will explain the details again when the bear market starts.
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HOW TO: The right way to use the MACDMany people mistakenly use the MACD histogram to enter trades without taking price action into context. In this video I'm going to show you how to interoperate the MACD Histogram, what it means and when its warning you.
Correlation between USDT.D and BTC.D
Hello, traders.
If you "Follow", you can always get new information quickly.
Have a nice day today.
-------------------------------------
(USDT.D 1M chart)
If USDT dominance is maintained below 4.97 or continues to decline, the coin market is likely to be on the rise.
The maximum decline is expected to be around 2.84-3.42.
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(BTC.D 1M chart)
However, in order for the altcoin bull market to begin, BTC dominance is expected to fall below 55.01 and remain there or show a downward trend.
Therefore, we need to see if it falls below the 55.01-62.47 range.
The maximum rise range is expected to be around 73.63-77.07.
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In summary of the above, since funds are currently concentrated in BTC, it is likely that BTC will show an upward trend, and altcoins are likely to show a sideways or downward trend as they fail to follow the rise of BTC.
The major bear market in the coin market is expected to begin in 2026.
For the basis, please refer to the explanation of the big picture below.
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Thank you for reading to the end.
I hope you have a successful transaction.
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- This is an explanation of the big picture.
(3-year bull market, 1-year bear market pattern)
I will explain more details when the bear market starts.
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