AMP Futures - Order types, and how to place a stop on the DOM.In this idea we will cover the different order types you can use in Tradingview, also explaining the placement of the different order types, and how to place a stop order on the DOM.
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My XAUUSD Scalping Strategy: Entry, Stop Loss & Management🔹 How I Think About Trading
My core trading principle is simple: capital preservation first, then profit-seeking.
While catching an entire move from start to finish can be exciting, it usually comes with greater risk. Rather than entering once and holding the full position, I prefer to scale into the move in phases. I take an initial entry with a tight stop, and once the trade moves in my favor, I take partial profits — typically reducing 70% of the position (as I’ll explain in the next section). If the market then breaks through the next key level, I re-enter using the same approach: tight stop, defined risk, and partial profits as the move extends. I repeat this process as the trend develops.
Instead of trying to hold from bottom to top in a single position, I reduce risk at each stage and use fresh entries to stay aligned with market momentum. The final portion of each trade — what I call the “runner” — is left to ride further price movement. This method keeps me engaged in the trend while tightly managing risk on every position.
To me, trading is a game of probabilities. We use structure and tools to filter out noise and increase our win rate. That’s why I believe in maintaining a consistent risk-reward ratio — it should never be changed emotionally or impulsively
🔹 How I Enter a Trade
As a scalper trading XAUUSD:
1. I identify the trend using the 30-minute and 15-minute charts
2. I confirm setups on the 5-minute chart
3. I enter a trade with precision on the 1-minute chart
4. I align all entries with the key levels I share daily
My stop losses are always tight — typically within a $1 to $3 range.
🔹 How I Manage a Trade
For example, if 3350 is a key level, I’ll wait for price to approach it closely so I can enter with a tight stop — say, at 3349.
Once in the trade, my conservative management approach is:
1. Take 70% profit after price moves $1 in my favor(e.g., if I buy around 3350 with a 3349 stop loss, and price reaches 3351, I’ll close 70% of the position)
2. Let the remaining 30% run to capture additional upside
3. Optional: Move the stop loss to breakeven, depending on your risk tolerance
3. Trim at intraday pivot levels or structure zones
This method is especially effective for new traders — it locks in early gains while keeping part of the position open for larger moves, all without increasing risk.
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.
Intro to my python-tradingview strategyAfter three years working on multiple trading strategies, I decided to share my experience and my trades. But before going live, I think I need to explain the roadmap I’ve followed so far.
I initially started coding my strategy in PineScript, which is a powerful tool. It allowed me to simply code my ideas and turn them into trading signals using alerts and conditions. I’m sure you’ve already watched dozens of YouTube videos on how to use webhooks and TradingView to send signals to your trading platform. Anyway, I began developing my strategy in Pine and used webhooks to connect to Tradovate. I went live after a few months of testing—which, of course, was my first mistake. In January 2022, my algo went live. I traded on a strategy that was just tuned on seen data, manually flipping parameters to maximize PnL—a purely overfit model—and I went live with real money. Anyway, the first month was positive and I thought I was the best trader in the world. I even told my wife we were going to be rich, like nothing could stop us. But after three months of trading, I lost—obviously. It was a bummer, but I knew where the problem was: lack of proper backtesting.
So that was the moment I moved my code to Python. It took me a couple of weeks to build an end-to-end backtesting framework in Python. I used Backtrader as a backtesting tool, which is awesome. I’ll have some videos soon to explain more about that. Anyway, moving my code to Python gave me the luxury of backtesting and creating rolling walk-forward optimizations, allowing me not only to refine my strategies but also to test them on 5–6 years of historical data.
Long story short, working with Python enabled me to come up with five different strategies for NQ and ES. I plan to share those trades, but before that, I thought I should share my journey first.
Please leave comments and follow my channel. More to come.
Crypto Patience or Crypto Poison? Escape the Trap of HopeIs sitting on a losing position without a plan still called patience—or just chronic self-deception? How many times have we told ourselves, “Just one more pump, and it’ll come back,” only to watch our capital get sliced in half?
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on XRP:
XRP is currently testing a key daily support zone, aligning with a descending trendline — a high-probability confluence area 📉. If this level holds, a potential upside move of around 17% could follow, with a primary target set near 2.65. Risk management remains essential as price action unfolds 🚀.
This analysis dives into one of the harshest truths in the market: when patience stops being a strength and becomes your biggest weakness.
🧩 The Victim Mindset: Why Do We Hold?
Most traders hold losing positions not because of logic—but because of fear. Fear of being wrong. Fear of realizing the loss. So the mind creates false hope to avoid pain. Every extra minute you “wait,” without a proper update to your thesis, you're letting the market control you—not the other way around.
📊 Smart Usage of TradingView Tools
TradingView isn’t just for drawing lines—it gives you smart tools that help prevent emotional traps. Let’s explore a few that can reshape your trading mindset:
Risk/Reward Ratio Tool: If you haven’t defined your loss tolerance from the start, patience becomes meaningless. This tool visually shows you whether your hold is strategic—or just emotional.
Fixed Range Volume Profile: Traders often get stuck in zones of high trading volume. This tool shows where the market traps liquidity and traders alike.
Alerts: If you don’t set exit alerts beforehand, emotions will make the decision for you. Use alerts to guide your logic—not your fears.
Replay Tool: Go back in time, relive your bad decisions, and study them. This helps build psychological awareness through chart practice—not just technical analysis.
Using these tools consistently turns your trades into structured decisions, rather than emotional guesses. TradingView gives you everything—you just have to use it wisely.
🪤 Patience or Behavioral Trap?
Have you noticed how after long periods of “holding,” your next move tends to make things even worse? That’s called a behavioral trap. After investing time and energy into a trade, you subconsciously want to “recover” that loss. So you increase your risk—or worse—re-enter the same losing coin.
🔍 Mental Positions vs. Market Positions
Most traders think they only have a position on the chart. But there's also a mental position—made of hope, fear, regret, or ego. More often than not, it's the mental position that makes us stay stuck—not the chart itself.
🧠 Spotting Real Patience vs. Emotional Holding
A quick checklist to test your patience:
Did you define your stop-loss and target before entering?
Are you holding because of a technical level—or just fear of realizing a loss?
Did you update your analysis—or are you clinging to outdated hope?
If this trade setup happened again, would you still hold?
💣 When "HODL" Becomes Mental Paralysis
In crypto, “HODL” isn’t always strategy—it can become mental paralysis. You can’t sell, not because of logic, but because of fear. That’s not conviction—that’s a warning sign.
🧱 Didn't Go Risk-Free? Then Patience Is Gambling
Patience only makes sense if your position is at least partially risk-free. If your capital is still fully exposed, your so-called patience is just emotional gambling. The market has no mercy for those without a plan.
🧭 Smart Exits: The Only Productive Patienc e
Sometimes patience means waiting for a better exit—not for a complete recovery. Kill your fantasy scenarios and look at what risk control really means. If your patience isn’t supported by structure, it’s a ticking time bomb.
🔚 Final Thoughts
Patience in crypto is not always a virtue. Without proper tools, structure, and psychological awareness, it becomes destructive. Use TradingView's tools wisely, build discipline, and know when you're waiting with logic—or just with fear.
📜 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 🐋
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.
How to Use Fibonacci Extension for Effective ProfitHow to Use Fibonacci Extension for Effective Profit-Taking in Forex.
Fibonacci Extension is a powerful tool for identifying profit-taking levels in Forex, including XAU/USD trading. Here’s a concise, SEO-optimized guide to maximize your gains:
1. Understand Fibonacci Extension Levels
The 127.2%, 161.8%, and 261.8% extension levels predict price targets after a breakout, making them ideal for setting profit goals.
2. Identify Key Price Swings
Select swing low (e.g., 3.300 USD), swing high (e.g., 3.344.70 USD), and retracement low (e.g., 3.312.570 USD) on the chart.
3. Apply Fibonacci Extension
Draw from swing low to high, then extend from the retracement low. For example, 161.8% may project to approximately 3.360 USD.
4. Set Profit-Taking Targets
Conservative: Target 127.2% (e.g., 3.350 USD).
Aggressive: Aim for 161.8% (e.g., 3.360 USD), aligning with resistance levels.
5. Manage Risk
Place a stop-loss below the retracement low (e.g., 3.300 USD) and aim for a 1:2 risk-reward ratio.
6. Pro Tips
Combine with resistance, RSI, or volume; exit early if momentum fades. Update levels with new swings.
Leverage this strategy to optimize profits in volatile Forex markets like XAU/USD!
How To Find Trends On A ChartIn this short video, I help you identify a down trend, a sideways market, and an up trend. I also offer a practice I used when starting to build up my proficiency in identifying these trends on a chart.
What is a Fibonacci Sequence and Its Application in Forex?What is a Fibonacci Sequence?
The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones, typically starting with 0 and 1 (e.g., 0, 1, 1, 2, 3, 5, 8, 13, 21, ...). In trading, the Fibonacci retracement levels are derived from key ratios (23.6%, 38.2%, 50%, 61.8%, and 100%) based on this sequence. These levels are used to identify potential support and resistance zones where price reversals or continuations may occur.
Application in Forex
In Forex trading, Fibonacci retracement is a popular technical analysis tool applied to chart price movements to predict future price action:
- Identifying Support and Resistance**: Traders draw Fibonacci levels between a significant high and low on a chart. For example, after a price drop, the 61.8% retracement level often acts as support where the price might bounce back.
- Entry and Exit Points**: Forex traders use these levels to determine optimal entry points (e.g., buying near a 50% retracement) or exit points (e.g., taking profit near a 23.6% retracement after a rally).
- Stop-Loss and Take-Profit**: Fibonacci levels help set stop-loss orders below support (e.g., below 61.8%) or take-profit targets near resistance (e.g., 38.2% or 50%).
- Trend Confirmation**: In a downtrend, if the price retraces to the 38.2% level and resumes falling, it confirms the bearish trend. Conversely, a break above this level in an uptrend may signal bullish momentum.
Example in Practice
On the XAU/USD chart, if the price drops from 3.344.70 USD to 3.312.570 USD, Fibonacci levels can be plotted. The 38.2% retracement might fall around 3.330 USD, serving as a potential support zone for traders to watch.
#004 Forex: Recovery Week and Macro Expectations
The week just ended marked a tactical turning point in global financial markets. After the correction in April and the instability in May, investors seem to be starting to bet on a return to stability, but caution remains a must. Let's look in detail at the main events and scenarios that marked this week in the stock markets and in the world of forex.
📈 Global stock markets: technical rebound or inversion?
In the United States, the Nasdaq was the protagonist of a recovery supported by tech and AI stocks. After weeks of selling, some key sectors such as semiconductors and gold led the recovery.
In Asia, Hong Kong (+0.9%) and emerging markets showed strength, also driven by the rebound in the MSCI EM index.
In Europe, stock markets benefited from a more relaxed climate and an ECB that is gradually becoming more accommodating.
💱 Forex: Dollar Weak, Euro Consolidating
The US dollar has been struggling all week, weighed down by dovish macro data expectations and rising geopolitical tensions.
EUR/USD has shown signs of consolidating above 1.08, with room for further bullish extensions if dollar sentiment deteriorates further.
Also of note is the Russian Central Bank’s rate cut, which had little effect on EM currencies but signals a global return to looser monetary policies.
📆 Busy Macro Week: Key Data Coming Soon
Traders are eagerly awaiting US Non-Farm Payrolls (NFP), CPI and the Fed meeting on June 12. These events will be key to the future direction of US monetary policy.
In parallel, China’s CPI and PPI will complete a highly relevant macro picture for FX trading.
🌍 Geopolitics and volatility: risk remains high
Trade instability, with new statements from Trump, has caused some pressure on Asian stock markets.
The "triple witching day" (simultaneous expiration of options and derivatives) at the end of June is approaching, which could amplify volatility especially in US markets.
📌 In summary: what to watch now
Stocks: is the rebound technical or the start of a new trend? The answer will depend on US data and the Fed's response.
Forex: watch out for the dollar's structural weakness, with the euro likely to remain the leading currency of the month.
Volatility: likely spikes around the technical expirations of mid/late June.
Outlook: mixed context, with tactical opportunities but still high risk.
📍 Conclusion
Markets are looking for a balance, but it is a fragile balance. Incoming macro data and global political tensions will act as catalysts in the next two weeks. For those trading stocks or forex, it’s time to stay informed, flexible and disciplined.
Heatwaves and Wheat: How Temperature Shocks Hit Prices🌾 Section 1: The Wheat–Weather Connection—Or Is It?
If there’s one crop whose success is often tied to the weather forecast, it’s wheat. Or so we thought. For decades, traders and analysts have sounded the alarm at the mere mention of a heatwave in key wheat-producing regions. The logic? Excessive heat during the growing season can impair wheat yields by disrupting pollination, shortening the grain-filling period, or damaging kernel development. A tightening supply should lead to price increases. Simple enough, right?
But here’s where the story takes an unexpected turn.
What happens when we actually analyze the data? Does heat reliably lead to price spikes in the wheat futures market? The short answer: not exactly. In fact, our statistical tests show that temperature may not have the consistent, directional impact on wheat prices that many traders believe it does.
And that insight could change how you think about risk, seasonality, and the role of micro contracts in your wheat trading strategy.
📈 Section 2: The Economics of Wheat—And Its Role in the Futures Market
Wheat isn’t just a breakfast staple—it’s the most widely grown crop in the world. It’s cultivated across North America, Europe, Russia, Ukraine, China, and India, making it a truly global commodity. Because wheat is produced and consumed everywhere, its futures markets reflect a wide array of influences: weather, geopolitics, global demand, and speculative positioning.
The Chicago Board of Trade (CBOT), operated by CME Group, is the main venue for wheat futures trading. It offers two primary wheat contracts:
Standard Wheat Futures (ZW)
Contract Size: 5,000 bushels
Tick Size: 1/4 cent per bushel (0.0025) has a $12.50 per tick impact
Margin Requirement: Approx. $1,700 (subject to change)
Micro Wheat Futures (MZW)
Contract Size: 500 bushels (1/10th the size of the standard contract)
Tick Size: 0.0050 per bushel has a $2.50 per tick impact
Margin Requirement: Approx. $170 (subject to change)
These micro contracts have transformed access to grain futures markets. Retail traders and smaller funds can now gain precise exposure to weather-driven moves in wheat without the capital intensity of the full-size contract.
🌡️ Section 3: Weather Normalization—A Smarter Way to Measure Impact
When analyzing weather, using raw temperature values doesn’t paint the full picture. What’s hot in Canada might be normal in India. To fix this, we calculated temperature percentiles per location over 40+ years of historical weather data.
This gave us three weekly categories:
Below 25th Percentile (Low Temp Weeks)
25th to 75th Percentile (Normal Temp Weeks)
Above 75th Percentile (High Temp Weeks)
Using this approach, we grouped thousands of weeks of wheat futures data and examined how price returns behaved under each condition. This way, we could compare a “hot” week in Ukraine to a “hot” week in the U.S. Midwest—apples to apples.
🔄 Section 4: Data-Driven Temperature Categories and Wheat Returns
To move beyond anecdotes and headlines, we then calculated weekly percent returns for wheat futures (ZW) for each of the three percentile-based categories.
What we found was surprising.
Despite common assumptions that hotter weeks push wheat prices higher, the average returns didn’t significantly increase during high-temperature periods. However, something else did: volatility.
In high-temp weeks, prices swung more violently — up or down — creating wider return distributions. But the direction of these moves lacked consistency. Some heatwaves saw spikes, others fizzled.
This insight matters. It means that extreme heat amplifies risk, even if it doesn't create a reliable directional bias.
Traders should prepare for greater uncertainty during hot weeks — an environment where tools like micro wheat futures (MZW) are especially useful. These contracts let traders scale exposure and control risk in turbulent market conditions tied to unpredictable weather.
🔬 Section 5: Statistical Shock—The t-Test Revelation
To confirm our findings, we ran two-sample t-tests comparing the returns during low vs. high temperature weeks. The goal? To test if the means of the two groups were statistically different.
P-Value (Temp Impact on Wheat Returns): 0.354 (Not Significant)
Conclusion: We cannot reject the hypothesis that average returns during low and high temp weeks are the same.
This result is counterintuitive. It flies in the face of narratives we often hear during weather extremes.
However, our volatility analysis (using boxplots) showed that variance in returns increases significantly during hotter weeks, making them less predictable and more dangerous for leveraged traders.
🧠 Section 6: What Traders Can Learn from This
This analysis highlights a few key lessons:
Narratives aren’t always backed by data. High heat doesn’t always mean high prices.
Volatility increases during weather stress. That’s tradable, but not in the way many assume.
Risk-adjusted exposure matters. Micro wheat futures (MZW) are ideal for navigating weather-driven uncertainty.
Multi-factor analysis is essential. Weather alone doesn’t explain price behavior. Global supply chains, speculative flows, and other crops’ performance all play a role.
This article is part of a growing series where we explore the relationship between weather and agricultural futures. From corn to soybeans to wheat, each crop tells a different story. Watch for the next release—we’ll be digging deeper into more effects and strategies traders can use to capitalize on weather.
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: tradingview.sweetlogin.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.
LTC - This is how a Wyckoff Spring look like when reading SI Reading the chart: Location, Structure, Speed Index and Plutus signals
Annotations in sync with the chart.
1. Major Fib
2. Support
3. Breaking Support with a false break - Fast wave = low Speed Index 1.1
4. Down wave, price has a hard time to move down = high Speed Index 2.9 (buyers absorbing sell orders)
5. Entry a Wyckoff Spring WS signal from Plutus
.... and up we go!!!
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 🐋
When Intuition Beats the Algorithm█ When Gut Feeling Beats the Bot: How Experience Can Improve Algorithmic Trading
In today’s world of fast, data-driven trading, we often hear that algorithms and rules-based systems are the future. But what happens when you mix that with a trader’s intuition, the kind that only comes from years of watching charts and reading price action?
A recent study has some surprising results: A seasoned discretionary trader (someone who trades based on what they see and feel, not just rules) was given a basic algorithmic strategy. The twist? He could override the signals and use his instincts. The result? He turned a losing system into a winning one, big time.
█ What Was the Experiment?
Researchers Zarattini and Stamatoudis (2024) wanted to test whether a skilled trader’s experience could boost a mechanical system. They took 9,794 stock “gap up” events from 2016 to 2023, where a stock opens much higher than the day before, and let the trader pick which ones looked promising.
⚪ To make it fair:
All charts were anonymized — no names, no news, no distractions.
The trader had only the price action to guide his choices.
He could also manage open trades — adjusting stop-losses, profit targets, and position sizing based on what the price was doing.
⚪ The Trading Setup
█ What Did They Find?
The trader only selected about 18% of all the gap-ups. But those trades performed far better than the full list. Here's what stood out:
Without stop-losses, the basic strategy lost money consistently (down -0.25R after just 8 days).
With the trader involved, profits rose fast, hitting +0.80R just 4 days after entry.
Risk was tightly managed: only 0.25% of capital was risked per trade.
⚪ So what made the difference? The trader could spot things the system missed:
Strong momentum early in a move
Clean breakouts from long sideways ranges
Patterns that had real follow-through, not just random gaps
He avoided weak setups and managed trades like a pro, cutting losers, letting winners run, and trailing positions with smart stop placements.
⚪ Example
An experienced trader can quickly identify a breakaway gap, when a stock gaps up above a clear resistance level. Unlike random gaps, this setup often signals the start of a strong move. While a system might treat all gaps the same, a skilled trader knows this one has real potential.
█ What Does This Mean for You?
This research shows that trading experience still matters — a lot.
If you’re a systematic trader, adding a discretionary filter (whether it’s your own review or someone else’s) could drastically improve your results. A clean chart read can help you avoid false signals and focus only on the best setups.
If you’re a discretionary trader, this study is proof that your skills can add measurable value. With the right tools and discipline, you don’t need to throw away your instincts, you can combine them with structure and still win.
█ Key Takeaways
⚪ Gut feeling isn’t just noise, trained instincts can spot what rules miss.
⚪ Trade selection matters more than just following every signal.
⚪ Managing risk and exits well is just as important as picking good entries.
⚪ Hybrid trading, rules plus judgment — might be the most powerful combo.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Strong Deviation News Trade MethodBack tested News-Based Trading Strategy | March–early June Results
This strategy trades only on strong deviation surprises in high-impact economic news releases, aiming to capture sharp market moves caused by unexpected data.
What is a Strong Deviation?
A strong deviation occurs when the actual economic data significantly differs from the forecasted number, beyond typical market expectations. This threshold is identified using advanced AI analysis of historical news data to measure how much surprise generally triggers meaningful price movement. Traders can implement these deviation levels as objective filters to enter trades only when the market is likely to react strongly.
Back test Summary (March to early June):
Total net result: +146.3 units (pips/points/%)
Number of trades: 10
Entry logic: Trade triggered when news surprise meets or exceeds strong deviation thresholds
Stop-loss: Set at 1.5 times the 15-minute chart ATR (Average True Range) to allow for normal volatility
Take-profit: Set at 2 times the stop-loss distance to secure favorable risk-reward
Visual signals: Each executed trade is marked on the chart with a blue pin
Highlights:
Focus on strong market-moving surprises only, filtering out noise
Risk management designed to balance protection and opportunity
Trades aligned strictly with news-driven momentum
Back tested with consistent positive returns over three months on key US economic data
How to Use:
Apply the strong deviation thresholds identified via AI-powered analysis as your trigger for news trades. Use the ATR-based stops and doubled take-profit for balanced risk control. This strategy suits traders aiming for clear, data-driven signals around economic events with disciplined trade management.
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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.
Stop Hunting for Perfection - Start Managing Risk.Stop Hunting for Perfection — Start Managing Risk.
Hard truth:
Your obsession with perfect setups costs you money.
Markets don't reward perfectionists; they reward effective risk managers.
Here's why your perfect entry is killing your results:
You ignore good trades waiting for ideal setups — they rarely come.
You double-down on losing trades, convinced your entry was flawless.
You're blindsided by normal market moves because you didn’t plan for imperfection.
🎯 Solution?
Shift your focus from entry perfection to risk management. Define your maximum acceptable loss, stick to it, and scale into trades strategically.
TrendGo wasn't built to promise perfect entries. It was built to clarify probabilities and structure risk.
🔍 Stop chasing unicorns. Focus on managing the horses you actually ride.
The SECRET is Compounding Tiny Objectives & Finding SatisfactionIn this video I talk about what I don't really find people talking about, which is how important it is to find satisfaction in your trading. When I say 'satisfaction', I am talking about the monetary kind. What do I mean by this?
A problem I used to have in my earlier days was over-trading, revenge trading, blowing accounts, the usual story. I even had a decently high win-rate and I was good at understanding price. What I discovered was that I was not finding satisfaction because I was not risking enough on my trades. You see.. my strategy had a high win-rate with a positive R average, but the setups did not appear that often. Not as rare as a unicorn, but still, I'd have to sit around and wait and wait and wait. By the time my setup came, I put on a small risk, and I won small. Subconsciously, I found that quite frustrating, even though I was actually winning most of my trades. You can imagine how I felt when I lost a trade. I felt like I invested all that time for nothing. One could argue that I was being careful, but the problem was I was being too careful. I age the same as everyone else, and everyone else ages the same as me. I am investing my time into this strategy, time I will never get back. If I am not utilizing my time in relation to the earning potential, then that is a bad investment. Being a psychologically prone person, I made it a serious rule that all my criteria for my setup must be hit before I take that trade, no exceptions. I kept myself on the higher timeframes so that my mental state can safely process what I needed to process, whether it was analytical or just psychological.
Another point was getting over what others were showcasing or doing. Material luxuries and large wins are all subjective things. It was frustrating seeing people trade every single day, most of them with green days. I felt like I had to do the same too to be a good trader. I was WRONG. What I actually need to do was make my system work for me, and that included how I implemented risk and what was satisfying enough for me to pursue. Like I said in the video, if what you want to do is not interesting or attractive to you, you won't want to do it. As long as what you want to do makes sense and isn't you trying to go from zero to a hundred in 2.5 seconds. As the title says, compound tiny objectives but make it satisfying in terms of risk and your time invested.
- R2F Trading
How to read market sentiment like a pro?
1️⃣ What Is Consumer Sentiment?
Consumer sentiment reflects how optimistic or pessimistic people feel about their financial situation and the overall economy. It’s a measure of people’s willingness to spend money. When confidence is high, consumers tend to spend more. When it's low, they hold back.
✅ It helps anticipate shifts in market behavior
✅ Used as a macroeconomic signal for traders and investors
✅ Often treated like a leading indicator for the S&P 500 and other indices
2️⃣ Why Is Consumer Sentiment Important?
The economy is largely driven by consumer spending. When people feel good about the economy, they:
- Buy more products
- Take on more debt
- Invest in assets
This behavior fuels business growth and market momentum. When sentiment drops, the opposite happens.
Sentiment is not always perfect or predictive, but it increases the probability of price moves — and in trading, we always aim for higher probabilities, not certainties.
3️⃣ Types of Sentiment Indicators
There are several forms of sentiment tracking:
✔️ Consumer Sentiment Index (e.g. University of Michigan)
✔️ News Sentiment (based on headline tone)
✔️ Market Sentiment Indicators (e.g. VIX, bond spreads)
✔️ Social/Headline Aggregators (e.g. AI-driven data that tracks public mood)
✔️ XLY/XLP what we have here
Each has strengths and limitations. For example, consumer sentiment is slower to change but more reliable long-term. News sentiment can be noisy and volatile but responsive.
4️⃣ How to Use Consumer Sentiment
Treat sentiment like a range or zone:
- High sentiment = potential market tops (overconfidence)
- Low sentiment = potential bottoms (fear and contraction)
Look for divergences:
- When sentiment is improving but markets are falling 👉 could signal a reversal
- When sentiment is declining while markets are rising 👉 could suggest caution
🧠 Think in probabilities, not possibilities. Just because sentiment is high doesn’t guarantee a rally but it does increase the odds, especially when combined with other data.
5️⃣ Example Ratios: XLY vs XLP
To break down consumer sentiment further, traders sometimes compare two:
XLY (Consumer Discretionary): Companies people spend money on when they feel confident (e.g. Amazon, Tesla)
XLP (Consumer Staples): Essential goods people buy regardless of economy (e.g. Walmart, Procter & Gamble)
If XLY/XLP is rising: consumer confidence is likely improving
If XLY/XLP is falling: sentiment is likely weakening
This ratio helps gauge spending behavior and risk appetite in a more visual, trackable way.
6️⃣ Limitations of Consumer Sentiment
⚠️ Not always aligned with price action in short-term
⚠️ Lagging data depending on source
⚠️ Can be influenced by temporary events (e.g. political shifts, news headlines)
⚠️ Doesn’t work well alone should be used with technical and fundamental analysis
7️⃣ Final Thoughts
Consumer sentiment is one of the most powerful but often overlooked indicators. It doesn’t tell you exactly what will happen, but it gives important context:
✅ Where we are in the economic cycle
✅ How confident people are in spending
✅ When the market may be out of sync with the real world
Use sentiment tools to build a higher-probability picture of what’s next. Combine them with price action, macro analysis, and volume-based tools for a more complete view.
Unfiltered Analysis: Understanding Daily Bias Less Than 10 minsThis is the quickest way to understand daily bias using swing points, FVA, FVG and order flow.
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.
Building Liquidity: What It Really Means🔵 Building Liquidity: What it really means
Professional traders often need liquidity (buyers and sellers) to enter/exit large positions without moving the market too much.
This means manipulating the market within a pre-determined range, which serves as the operating center for everything that follows.
🔹 How is liquidity built
Price Ranging: Sideways consolidation before big moves attracts both buyers and sellers.
False Breakouts (Stop hunts): Price may briefly break support/resistance to trigger retail stop-losses and fill institutional orders.
News Timing: Pro traders often execute during or just before major news when volatility brings liquidity.
🔹 How can you spot a Liquidity-building zone
🔸 Volume
Unusual spikes in volume: Often indicate institutional activity.
Volume clusters at ranges or breakouts: Suggest accumulation/distribution zones.
Volume with price divergence: Price rises but volume falls = possible exhaustion. Volume rises and price consolidates = potential accumulation.
🔸 Price Action
Order Blocks / Imbalance zones: Sharp moves followed by consolidations are often pro trader footprints.
Break of Structure (BoS): Institutions often reverse trends by breaking previous highs/lows.
Liquidity sweeps: Price moves aggressively above resistance or below support then reverses = stop-loss hunting.
🔸 News Reaction
Watch pre-news volume spikes.
Look for contrarian moves after news — when price moves opposite to expected direction, it often reveals smart money traps.
Analyze price stability post-news — slow movement shows absorption by pros.
Wick traps and reversals around news events = stop hunting.
🔸 Narrative is Everything
Higher timeframe trends show intent.
Lower timeframes show execution zones.
Look for alignment between timeframes in a specific direction.
🔹 Why do whales move the market in an orderly manner
To fill large positions at optimal prices.
To create liquidity where there is none.
To trap retail on the wrong side of the move.
To trap other whales on the wrong side of this move.
To rebalance portfolios around economic cycles/news.
🔹 Professionals never forget what they've built
When you track price, volume, and news, you’ll find specific bars that form areas that are the foundation for the short-term direction.
This is pure VPA/VSA logic, the interplay of Price Analysis ,Volume Analysis and News, where each bar is not just a bar , but a clue in the story that professionals are writing.
When you monitor volume, price, and news together and perform multi-timeframe analysis, it becomes clear what the whales are doing, and why.
🔹 From the chart above
The market reached a weekly resistance level and then pulled back slightly after whales triggered the stop-losses of breakout traders.
Prior to the breakout, whales had accumulated positions by creating a series of liquidity-rich buying zones on the daily timeframe.
It's essential to understand the broader context before choosing to participate alongside them—whether you're planning to buy or sell.
🔴 Tips
Use volume and price analysis together, not separately.
Monitor any unusual volume bars before economic market news.
Monitor news and volatility spikes to detect traps and entries.
Combine this with liquidity zones (support/resistance clusters).
Build a "narrative" per week: What is smart money trying to do?
A smart trader understands the tactics whales use, and knows how to navigate around them.
Learning#02 : Fractals⛰️ Learning#02 : Fractals
The Cleanest Clue on a Cluttered Chart
If you like clean charts and smart price behaviour, Fractals are one of those tools that give subtle but powerful signals. They’re not magic. They simply reflect what price is telling you—if you’re willing to listen.
Let’s unpack the concept and learn how to use Fractals like a pro.
🔍 What Is a Fractal in Trading?
In technical analysis, a Fractal is a five-candle pattern that marks a local top or bottom in price. It’s a pure price-action signal that doesn’t rely on lagging indicators.
There are two types of Fractals:
Bearish Fractal (Top): The 3rd candle has the highest high, surrounded by two lower highs on each side.
Bullish Fractal (Bottom): The 3rd candle has the lowest low, flanked by two higher lows on each side.
These formations are Price's way of saying: *"I tried to go further, but couldn't."
📊 What Do Fractals Indicate?
A shift in short-term control (bulls vs. bears)
Minor support or resistance zones
Useful markers for entries, exits, or trailing stop levels
They don't guarantee reversals but are excellent at highlighting where price momentum may pause, reverse, or build structure.
📈 How to Use Fractals – A Practical Guide
Let’s be clear: Fractals are not trade signals by themselves.
Instead, they work best when used in confluence with your strategy. Think of them as tools that:
Help confirm breakout levels
Refine pullback entries
Guide you in drawing cleaner trendlines, fib zones, and support/resistance levels
Assist in identifying swing highs and lows for Dow Theory-style trend analysis
🔗 Fractals + Strategy = Smart Trading
Whether you trade breakouts or mean reversion, Fractals help clarify:
Which highs or lows matter
Where to place stop losses with structure-based logic
How to trail SL as the trade progresses
They quietly organize your chart into readable, tradeable levels.
🚀 Practical Uses of Fractals
Fractals are the first tool I add to any chart—they instantly reveal structure and guide every step of my analysis.
1. Breakout Confirmation
Wait for a candle to close above a bullish fractal high or below a bearish fractal low.
Useful when the market is trending or forming structures like double bottoms/tops.
2. Pullback with Confirmation
Use the fractal zone as a short-term S/R level. If price returns and shows signs of rejection (like an inside bar, wick rejections, or low volume), consider entries based on confirmation.
Great in sideways or swing environments.
3. Trend Structure Validation
Fractals reveal clear pivot highs/lows, helping:
Confirm higher highs/higher lows
Mark structure for trendline drawing
Validate Fib levels or S/R zones
4. Trailing Stop Loss
Update your SL to trail behind the most recent opposite-side fractals.
In longs: SL below new bullish fractals
In shorts: SL above new bearish fractals
This lets you stay in the move while managing risk like a pro.
How it’s Look Like on Chart
⚠️ Common Mistakes to Avoid
Trading every fractal blindly
Ignoring price context or trend
Relying on fractals in low-volume, choppy markets
📝 Final Thoughts
Fractals are like breadcrumbs left by price action. They quietly point to areas where the market faced resistance or found support. Alone, they’re not enough. But in the hands of a price-action trader, they’re incredibly useful.
Used alongside market structure, confirmation signals, and clean charting habits, Fractals become:
Trend identifiers
Entry enhancers
Stop loss trail markers
⭐ Bonus Tip
Next time you mark a level, Fibonacci or draw a trendline, check if a Fractal confirms it. You’ll be surprised how often it does.
Trade simple. Trade clean.
— Kiran Zatakia
