Get started

Forex

USOIL Trading Opportunity! BUY! My dear followers, I analysed this chart on USOIL and concluded the following: The market is trading on 62.80 pivot level. Bias - Bullish Technical Indicators: Both Super Trend & Pivot HL indicate a highly probable Bullish continuation. Target - 63.60 About Used Indicators: A super-trend indicator is plotted on either above or below the closing price to signal a buy or sell. The indicator changes color, based on whether or not you should be buying. If the super-trend indicator moves below the closing price, the indicator turns green, and it signals an entry point or points to buy. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ——————————— WISH YOU ALL LUCK
TVC:USOILLong
by AnabelSignals
1
QQQ What Next? BUY! My dear followers, This is my opinion on the QQQ next move: The asset is approaching an important pivot point 601.78 Bias - Bullish Safe Stop Loss - 598.47 Technical Indicators: Supper Trend generates a clear long signal while Pivot Point HL is currently determining the overall Bullish trend of the market. Goal - 607.22 About Used Indicators: For more efficient signals, super-trend is used in combination with other indicators like Pivot Points. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ——————————— WISH YOU ALL LUCK
NASDAQ:QQQLong
by AnabelSignals
1
Building Better Inputs: The Foundation of AI Trading Success The Best Algorithm in the World Can't Fix Bad Inputs Here's a secret that separates amateur AI traders from professionals: The model architecture matters far less than the features you feed it. Feature engineering - the art of transforming raw data into meaningful inputs — is where the real edge lives. --- What Is Feature Engineering? Definition: Feature engineering is the process of creating input variables (features) from raw data that help machine learning models make better predictions. In Trading: Transforming raw price, volume, and other data into signals that capture market behavior. The Core Principle: Raw data (OHLCV) contains information, but it's often hidden. Features extract and highlight that information. --- Why Feature Engineering Matters 1. Models Learn from Features, Not Raw Data A model seeing learns little A model seeing learns patterns Features encode the relationships that matter 2. Domain Knowledge Becomes Computable "Price is extended" → Z-score feature "Volume is unusual" → Volume ratio feature "Trend is strong" → ADX feature 3. Reduces Noise, Amplifies Signal Raw prices contain noise Well-designed features filter noise Model focuses on what matters 4. Enables Simpler Models Good features + simple model often beats Bad features + complex model Interpretability improves --- Categories of Trading Features Category 1: Price-Based Features Returns: Simple returns: (Close - Previous Close) / Previous Close Log returns: ln(Close / Previous Close) Multi-period returns: 5-day, 20-day, 60-day Price Relationships: Distance from high/low Distance from moving average Price relative to range (where in today's range) Candle Features: Body size: |Close - Open| Upper wick: High - max(Open, Close) Lower wick: min(Open, Close) - Low Body to range ratio --- Category 2: Trend Features Moving Average Features: Price above/below MA (binary) Distance from MA (continuous) MA slope (trend direction) MA crossover signals Trend Strength: ADX value Consecutive higher highs/lower lows Linear regression slope R-squared of price trend Trend Duration: Bars since trend started Bars since last MA cross Time in current regime --- Category 3: Momentum Features Oscillators: RSI value RSI zone (oversold/neutral/overbought) Stochastic %K and %D CCI value Rate of Change: ROC over various periods Momentum acceleration/deceleration Momentum divergence from price Relative Momentum: Performance vs benchmark Sector relative strength Percentile rank of momentum --- Category 4: Volatility Features Range-Based: ATR (Average True Range) ATR ratio (current ATR / historical ATR) Range expansion/contraction Standard Deviation: Rolling standard deviation Bollinger Band width Z-score of price Volatility Regime: High/low volatility classification Volatility percentile Volatility trend (increasing/decreasing) --- Category 5: Volume Features Volume Ratios: Volume / Average volume Volume trend (increasing/decreasing) Relative volume by time of day Price-Volume Relationships: Up volume vs down volume Volume on up days vs down days OBV (On-Balance Volume) Volume-price trend Volume Patterns: Volume spike detection Volume climax signals Accumulation/distribution --- Category 6: Time Features Calendar Features: Day of week Month of year Quarter Days until/since events (earnings, FOMC) Session Features: Time of day Session (Asian, European, US) Minutes since open/until close Cyclical Encoding: Sin/cos transformation for cyclical features Preserves cyclical relationships Day of week: sin(2π × day/7), cos(2π × day/7) --- Category 7: Cross-Asset Features Correlation Features: Rolling correlation with benchmark Correlation regime changes Beta to market Relative Features: Spread between assets Ratio between assets Relative performance Market Context: VIX level and change Sector performance Market breadth --- Feature Engineering Best Practices Practice 1: Normalize Features Raw values vary wildly across assets and time. Methods: Z-score: (value - mean) / std Min-max scaling: (value - min) / (max - min) Percentile ranking Why: Models work better with normalized inputs. --- Practice 2: Handle Look-Ahead Bias Features must only use data available at prediction time. Common Mistakes: Using future data in calculations Normalizing with full dataset statistics Including target information in features Solution: Always use rolling/expanding windows. --- Practice 3: Create Interaction Features Combine features to capture relationships. Examples: RSI × Trend direction Volume ratio × Price change Volatility × Momentum Why: Captures conditional relationships. --- Practice 4: Lag Features Appropriately Include historical values of features. Examples: RSI 1 bar ago, 5 bars ago, 20 bars ago Return over last 1, 5, 20, 60 periods Volatility change over time Why: Captures temporal patterns. --- Practice 5: Test Feature Importance Not all features help. Some hurt. Methods: Correlation with target Feature importance from tree models Ablation studies (remove and test) Why: Reduces overfitting, improves interpretability. --- AI-Powered Feature Engineering 1. Automated Feature Generation AI can generate thousands of feature combinations: Mathematical transformations Interaction terms Lagged versions 2. Feature Selection AI identifies which features actually help: Removes redundant features Identifies most predictive features Optimizes feature set for model 3. Dynamic Feature Weighting AI adjusts feature importance over time: Some features work better in certain regimes Adaptive weighting based on recent performance Regime-specific feature sets 4. Deep Learning Feature Extraction Neural networks can learn features automatically: Convolutional layers for pattern detection Recurrent layers for sequence patterns Attention mechanisms for importance weighting --- Feature Engineering Mistakes Too Many Features - More features ≠ better model. Overfitting risk increases. Curse of dimensionality. Start simple, add complexity only if needed. Highly Correlated Features - Multiple features measuring the same thing. Redundancy without benefit. Check correlation matrix, remove duplicates. Unstable Features - Features that change dramatically with small data changes. Unreliable in live trading. Test stability across time periods. Ignoring Domain Knowledge - Letting AI generate features without trading logic. May find spurious patterns. Combine AI generation with human curation. Not Testing Out-of-Sample - Features that work in-sample may fail out-of-sample. Always validate on unseen data. --- Building Your Feature Library Step 1: Start with Fundamentals Returns (multiple timeframes) Volatility (ATR, std dev) Trend (MA relationships) Momentum (RSI, ROC) Volume (ratios, trends) Step 2: Add Domain-Specific Features What do you look for when trading? Encode your analysis into features Test if they add predictive value Step 3: Create Derived Features Combinations of base features Regime indicators Cross-asset relationships Step 4: Continuously Refine Monitor feature performance Remove degraded features Add new features as markets evolve --- Key Takeaways Feature engineering transforms raw data into meaningful model inputs Good features often matter more than model complexity Categories include price, trend, momentum, volatility, volume, time, and cross-asset Always normalize, avoid look-ahead bias, and test out-of-sample AI can automate feature generation and selection, but domain knowledge guides the process --- Your Turn What features do you find most predictive in your trading? Have you experimented with creating custom features? Share your feature engineering insights below 👇
COINBASE:XRPUSDEducation
by officialjackofalltrades
Analysis – Demand Zone Bounce Toward Key Resistance🔎 Market Overview On the 1-hour timeframe, BTCUSDT (Bybit) shows a strong bullish reaction after forming a short-term bottom near the 65,000 area. Price has broken structure to the upside and is now consolidating above a marked demand zone, suggesting buyers are in control for the short term. 🟢 Key Technical Observations 1️⃣ Demand Zone Holding (≈ 68,700 – 69,000) Price impulsively moved up from this area. Current consolidation above it confirms it as short-term support. This zone aligns with the proposed entry region. 2️⃣ Stop Loss Placement (≈ 68,374) Positioned below the demand zone. Logical invalidation level — if price breaks below, bullish structure weakens. 3️⃣ Resistance Level (≈ 71,200) Previous rejection zone. Likely liquidity area where sellers may step in. 4️⃣ Upside Target (≈ 71,200+) First major take-profit aligns with resistance. Break above could open continuation toward 72,000+. 📊 Trade Idea Summary (Bullish Setup) Bias: Short-term bullish Entry: Retest/hold above 68,800–69,000 Stop Loss: Below 68,374 Target: 71,200 resistance Risk-to-Reward: Favorable if targeting full resistance move ⚠️ What Would Invalidate This Setup? A strong 1H close below the demand zone. Failure to hold 68,700 with increasing selling volume. 📌 Conclusion BTC is showing bullish momentum after reclaiming structure and holding a demand zone. As long as price remains above 68.7K, probability favors a push toward the 71.2K resistance area. A clean breakout above resistance could accelerate upside momentum. If you'd like, I can also provide: A bearish alternative scenario Lower timeframe confirmation plan Risk management sizing example Volume/liquidity breakdown analysis
Long
by Fx_Sniper_10
CADJPY Will Go Up From Support! Long! Please, check our technical outlook for CADJPY. Time Frame: 9h Current Trend: Bullish Sentiment: Oversold (based on 7-period RSI) Forecast: Bullish The market is approaching a key horizontal level 112.122. Considering the today's price action, probabilities will be high to see a movement to 113.644. P.S Overbought describes a period of time where there has been a significant and consistent upward move in price over a period of time without much pullback. Like and subscribe and comment my ideas if you enjoy them!
Long
by SignalProvider
1
AUDJPY Will Go Higher! Buy! Here is our detailed technical review for AUDJPY. Time Frame: 8h Current Trend: Bullish Sentiment: Oversold (based on 7-period RSI) Forecast: Bullish The market is approaching a significant support area 107.984. The underlined horizontal cluster clearly indicates a highly probable bullish movement with target 108.970 level. P.S Please, note that an oversold/overbought condition can last for a long time, and therefore being oversold/overbought doesn't mean a price rally will come soon, or at all. Like and subscribe and comment my ideas if you enjoy them!
Long
by SignalProvider
1
CAD/CHF SELLERS WILL DOMINATE THE MARKET|SHORT Hello, Friends! We are now examining the CAD/CHF pair and we can see that the pair is going up locally while also being in a uptrend on the 1W TF. But there is also a powerful signal from the BB upper band being nearby, indicating that the pair is overbought so we can go short from the resistance line above and a target at 0.566 level. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ✅LIKE AND COMMENT MY IDEAS✅
Short
by EliteTradingSignals
1
GBP/CAD SELLERS WILL DOMINATE THE MARKET|SHORT Hello, Friends! Bearish trend on GBP/CAD, defined by the red colour of the last week candle combined with the fact the pair is overbought based on the BB upper band proximity, makes me expect a bearish rebound from the resistance line above and a retest of the local target below at 1.841. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ✅LIKE AND COMMENT MY IDEAS✅
Short
by EliteTradingSignals
1
CADJPY Will Explode! BUY! My dear subscribers, This is my opinion on the CADJPY next move: The instrument tests an important psychological level 112.34 Bias - Bullish Technical Indicators: Supper Trend gives a precise Bullish signal, while Pivot Point HL predicts price changes and potential reversals in the market. Target - 113.17 About Used Indicators: On the subsequent day, trading above the pivot point is thought to indicate ongoing bullish sentiment, while trading below the pivot point indicates bearish sentiment. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ——————————— WISH YOU ALL LUCK
Long
by AnabelSignals
1
A downturn is imminent - 10 Year Treasury Note based analysisIn recent years, many of us acknowledge that the term "recession" has been appearing in news and social media outlets at an increasing rate. While it acts as great clickbait, most sources tend to avoid to avoid a more fundamentals data driven approach, but rather are preferential an opinionated viewpoint from which their viewers can relate. Here I propose a more decisive graphical proof of why I believe some sort of downturn is on the (medium term) horizon, using the 10 year US treasury bond as the foundation, and comparing its recent movements to other typical recession indicators at a long timeframe. The top graph shows the US YoY interest rate divided by the US 10 year note. Bonds and the interest rate are very closely economically correlated, deviations in the ratio between these two factors provides a very strong indicator (historically) for recession territory. 7 out of 8 times where the white line around 1.2 has been crossed on the 3M chart, as shown by the bottom graph, unemployment is quick to follow with rapid and sharp increases (beginning from red vertical lines). This white line acts as the point of no return for the economy medium term. The maximum threshold by which historically the balance of the economy tips in one direction, bursting bubbles in favor of what people call a recession, and eventual return to an equilibrium (stability). This was hit in December 2022. While its very hard to tell the exact point where the downturn begins after this point, its obvious (based off this chart alone) one is around the corner. By no means is this solid proof of anything in the future, but a very simplified graphical comparison between the ratio of two major economic data trends and their historical impact on the rate unemployment. If these historic trends continue to remain strong (as they have done with 88% accuracy since 1971) we should expect a significant economic downturn on the medium term timeframe, between 3-18 months from now. This is not financial advice, derive what you will from this data, let this idea act only as a point of interest - however, I urge sensible and thoughtful investing/trading on medium/short term timeframes with a bias towards the downside and continues high volatility.
ECONOMICS:USINTRShort
by Shelly
3
USDJPY The Target Is UP! BUY! My dear subscribers, My technical analysis for USDJPY is below: The price is coiling around a solid key level - 152.81 Bias - Bullish Technical Indicators: Pivot Points High anticipates a potential price reversal. Super trend shows a clear buy, giving a perfect indicators' convergence. Goal - 153.09 My Stop Loss - 152.66 About Used Indicators: By the very nature of the supertrend indicator, it offers firm support and resistance levels for traders to enter and exit trades. Additionally, it also provides signals for setting stop losses Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ——————————— WISH YOU ALL LUCK
Long
by AnabelSignals
1
USD/JPY | Where to next? USDJPY continued last week's trend of dropping further in price until NFP came out on Wednesday, after a surge in price, it dropped again and then started to consolidate between the IFVG and the demand zone. Currently USDJPY is being traded at 152.82, if it bounces back up from the Demand Zone, it can go a bit higher and retest the IFVG. If it goes through the IFVG, it can go all the way up to 154.65, however, if it fails to stabilize above 153.60, abort mission. Targets: 153.00, 153.50, 154.00, 154.30 and 154.65.
by AmirAliTrading
NZD/USD | CPI aftermath! (READ THE CAPTION)As you can see in the 30m chart of NZDUSD, last night it had a dramatic fall in price just like the other Forex pairs, and then it continued to drop further and further to 0.6014. With the CPI news coming out, it went up to 0.6043 and then it dropped and went back up several times. Now, it is being traded at 0.6037, just above the Feb 13th NDOG. If it stabilizes above 0.6040, I expect it to go higher. But if it fails to stabilize there, I expect another drop for AUDUSD. If it stabilizes above 0.6040: 0.6048, 0.6056 and 0.6064. If it fails: 0.6030, 0.6022 and 0.6014.
by AmirAliTrading
NZDCHF Will Go Lower! Short! Please, check our technical outlook for NZDCHF. Time Frame: 1h Current Trend: Bearish Sentiment: Overbought (based on 7-period RSI) Forecast: Bearish The price is testing a key resistance 0.467. Taking into consideration the current market trend & overbought RSI, chances will be high to see a bearish movement to the downside at least to 0.465 level. P.S Please, note that an oversold/overbought condition can last for a long time, and therefore being oversold/overbought doesn't mean a price rally will come soon, or at all. Like and subscribe and comment my ideas if you enjoy them!
Short
by SignalProvider
1
BITCOIN Will Fall! Short! Here is our detailed technical review for BITCOIN. Time Frame: 1h Current Trend: Bearish Sentiment: Overbought (based on 7-period RSI) Forecast: Bearish The market is approaching a significant resistance area 68,030.86. Due to the fact that we see a positive bearish reaction from the underlined area, I strongly believe that sellers will manage to push the price all the way down to 65,890.40 level. P.S We determine oversold/overbought condition with RSI indicator. When it drops below 30 - the market is considered to be oversold. When it bounces above 70 - the market is considered to be overbought. Like and subscribe and comment my ideas if you enjoy them!
TRADENATION:BTCUSDShort
by SignalProvider
1
GBPNZD Will Go Down! Short! Take a look at our analysis for GBPNZD. Time Frame: 4h Current Trend: Bearish Sentiment: Overbought (based on 7-period RSI) Forecast: Bearish The market is on a crucial zone of supply 2.258. The above-mentioned technicals clearly indicate the dominance of sellers on the market. I recommend shorting the instrument, aiming at 2.246 level. P.S The term oversold refers to a condition where an asset has traded lower in price and has the potential for a price bounce. Overbought refers to market scenarios where the instrument is traded considerably higher than its fair value. Overvaluation is caused by market sentiments when there is positive news. Like and subscribe and comment my ideas if you enjoy them!
Short
by SignalProvider
1
AUDJPY: Expecting Bullish Continuation! Here is Why: The charts are full of distraction, disturbance and are a graveyard of fear and greed which shall not cloud our judgement on the current state of affairs in the AUDJPY pair price action which suggests a high likelihood of a coming move up. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ❤️ Please, support our work with like & comment! ❤️
Long
by UnitedSignals
1
EURUSD Sellers In Panic! BUY! My dear followers, I analysed this chart on EURUSD and concluded the following: The market is trading on 1.1861 pivot level. Bias - Bullish Technical Indicators: Both Super Trend & Pivot HL indicate a highly probable Bullish continuation. Target - 1.1869 Safe Stop Loss - 1.1856 About Used Indicators: A super-trend indicator is plotted on either above or below the closing price to signal a buy or sell. The indicator changes color, based on whether or not you should be buying. If the super-trend indicator moves below the closing price, the indicator turns green, and it signals an entry point or points to buy. Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ——————————— WISH YOU ALL LUCK
Long
by AnabelSignals
1