OHLC stands for Open, High, Low, Close — four key price points recorded for a specific time period (e.g., one day, one hour, one minute).

• Open: Price at the start of the period.
• High: The highest price reached in that period.
• Low: The lowest price reached.
• Close: Price at the end of the period.

OHLC data forms the basis for candlestick and bar charts, which traders use to identify patterns, momentum, and sentiment.

• Long wicks may indicate rejection of higher or lower prices.
• Small bodies may suggest indecision.

Bollinger Bands are a volatility-based chart indicator that consist of three lines:

1. Middle Band: A simple moving average (typically 20 periods).
2. Upper Band: Middle band plus two standard deviations.
3. Lower Band: Middle band minus two standard deviations.

The bands expand when volatility increases and contract when volatility decreases.

• Touching upper band: Price may be overextended upward.
• Touching lower band: Price may be overextended downward.

How traders use it:

• To identify potential breakout points during low volatility “squeezes.”
• To spot overbought or oversold conditions in relation to volatility.

VWAP (Volume-Weighted Average Price) represents the average price a stock has traded at throughout the day, weighted by trading volume.

Unlike a simple average, VWAP gives more influence to prices with higher volume, making it a benchmark used by institutional traders.

• Price above VWAP: Buying pressure dominates.
• Price below VWAP: Selling pressure dominates.

How traders use it:

• As a guide for fair value in intraday trading.
• To confirm trend strength or detect potential reversals.

ATR (Average True Range) is a volatility indicator that measures how much a stock typically moves during a given period. Unlike simple price range, ATR accounts for gaps between trading sessions.

It is calculated as the average of the “true range” over a set period (often 14 days), where true range considers:

1. High minus Low
2. High minus previous Close (absolute value)
3. Low minus previous Close (absolute value)

How traders use it:

• To set stop-loss and take-profit levels based on volatility.
• To adjust position sizes so risk stays consistent across different stocks.

RSI (Relative Strength Index) is an oscillator that measures the speed and magnitude of price changes on a scale from 0 to 100.

The formula compares the average gain to the average loss over a set period (commonly 14 days), producing a value that reflects market momentum.

• Above 70: Often considered “overbought” — price may slow or reverse.
• Below 30: Often considered “oversold” — price may bounce or recover.

How traders use it:

• To spot overextended moves that may correct.
• To detect bullish or bearish divergences between price and RSI.

EMA (Exponential Moving Average) is a type of moving average that gives more weight to recent prices, making it react faster to new market data than a Simple Moving Average (SMA).

EMAs are calculated over a chosen period (such as 9, 21, or 50 days) and are plotted on a chart to smooth out price fluctuations.

• Short-term EMAs (e.g., 9 or 12) are more sensitive and are often used for quick trade signals.
• Long-term EMAs (e.g., 50, 200) help identify the broader trend.

How traders use it:

• When a short-term EMA crosses above a long-term EMA, it can indicate an uptrend.
• When it crosses below, it may signal a downtrend.

MACD (Moving Average Convergence Divergence) is a momentum-based indicator that helps traders identify trend direction, strength, and potential reversals. It compares two different Exponential Moving Averages (EMAs), typically the 12-period EMA and the 26-period EMA.

It consists of three parts:

1. MACD Line: The difference between the two EMAs.
2. Signal Line: A 9-period EMA of the MACD line, used to trigger buy or sell signals.
3. Histogram: A bar chart showing the distance between the MACD line and the Signal line.

How traders use it:

• Bullish crossover: MACD line moves above the Signal line.
• Bearish crossover: MACD line moves below the Signal line.
• Divergence: Price moves in one direction while MACD moves in another, often signaling a weakening trend.

On-Balance Volume is a volume-based momentum indicator developed by Joseph Granville. It measures buying and selling pressure by cumulatively adding the day’s volume when price closes higher, and subtracting the day’s volume when price closes lower.

The logic is that volume precedes price:

• Rising OBV: Suggests accumulation (buyers entering the market), potentially leading to higher prices.
• Falling OBV: Suggests distribution (sellers exiting), potentially leading to lower prices.

Traders often compare OBV trends to price trends. If OBV rises while price is flat, it may signal that smart money is quietly accumulating before a breakout. Conversely, if OBV falls while price is flat or rising, it can be a warning of hidden selling pressure.

A Monte Carlo Simulation is a risk analysis technique that uses random sampling and repeated simulations to model the probability of different outcomes. In trading, it’s applied to test how a strategy might perform under varying market conditions by simulating thousands (or even millions) of trade sequences with random variables like trade order, volatility, and slippage.

This helps traders understand:

• The range of possible returns
• The probability of drawdowns exceeding a certain size
• The likelihood of achieving specific profit targets

Unlike simple backtesting, which uses one fixed historical sequence, Monte Carlo shows the distribution of outcomes, giving traders a better sense of risk and performance variability.

Support and Resistance are fundamental concepts in technical analysis used to identify price levels where supply and demand dynamics are likely to cause price to stall, reverse, or consolidate.

• Support: A price level where buying pressure tends to overpower selling pressure, preventing further declines. Often found at prior lows, moving averages, or psychological round numbers.
• Resistance: A price level where selling pressure tends to overpower buying pressure, preventing further advances. Often found at prior highs, trendline touches, or significant moving averages.

Once broken, support can become resistance and vice versa — a concept known as "role reversal." Traders use these levels to set entry points, stop-losses, and profit targets, as they often coincide with areas of high market interest.

Fibonacci Retracements are a technical analysis tool based on the mathematical Fibonacci sequence, where each number is the sum of the two before it. In trading, key ratios derived from this sequence — 23.6%, 38.2%, 50%, 61.8%, and 78.6% — are used to identify potential areas where price may reverse or pause during a pullback.

Traders apply Fibonacci Retracements by drawing them from a significant high to a significant low (or vice versa) to measure the percentage retracement of a move.

• In an uptrend, retracement levels can act as potential support zones.
• In a downtrend, retracement levels can act as potential resistance zones.

While they are not perfect predictors, Fibonacci levels are widely followed, which can make them self-reinforcing — many traders place orders around these areas, increasing the likelihood of price reactions.

SentientX is optimized for both — with two separate AI engines:

• Swing Trading Engine – Designed for trades lasting 1–5 days, focusing on next-day predictions and multi-day setups.
• Day Trading Engine – Built for same-day entries and exits, using ultra-fast intraday signals and risk filters.

You can choose the mode that matches your trading style — or use both to capture short-term opportunities while riding bigger trends.

The platform prioritizes high-confidence signals over quantity.

• Backtested accuracy on selected signals ranges from 60%–85%
• Each signal comes with debug info and scoring transparency, so you're not trading blind

SentientX uses four AI layers:

1. Signal & Context – Detects overall market regime and price context
2. Trigger & Confirmation – Validates setups with patterns and volume
3. Execution & Risk – Determines timing, risk level, and stop-loss zones
4. Overnight Sentry – Predicts next-day movement using separate models

Each layer scores independently. Final decisions are made by composite evaluation with human-readable explanations.

SentientX focuses on a handpicked selection of roughly 100 stocks chosen for their liquidity, volatility, and trading potential. While most are from the Nasdaq-100, the coverage also includes:

• Momentum stocks that show strong price trends
• Key ETFs, including leveraged 3× ETFs for active traders
• High-interest sectors such as Cryptocurrency, Artificial Intelligence, Cybersecurity, Cloud Technology, and Semiconductors

By keeping the universe focused, SentientX’s AI models can be tuned for the most tradeable opportunities rather than spreading attention across thousands of lower-quality symbols.

SentientX is an AI-powered trading assistant designed to help you make smarter decisions in the stock market. It combines next-day predictive models with intraday signal engines to deliver clear, actionable trade insights across curated tech sectors, including Crypto, AI, Semi, Cloud, Cybersecurity, and ETFs.