Promia
Stock Chart Prompt

Stock Chart Analysis AI Prompt Generator

Build a structured prompt for one stock chart analysis or compare 3 to 5 stocks with per-stock markets, a shared horizon, one method, and risk-first data checks.

This tool creates an AI input prompt. It does not analyze the stock chart on this page.

Prompt inputs

Market
Analysis purpose
Output format
Risk profile

Analysis method

Choose one method. Start with comprehensive analysis to balance trend, momentum, volume, volatility, support/resistance, and risk. Choose another method for a deeper single-angle review.

Selected method
Comprehensive analysis

Comprehensive analysis

Balances trend, momentum, volume, volatility, support/resistance, and risk. Recommended for first-time use.

Included formulas

  • SMASMA(n) = sum(Close over n periods) / n
  • RSIRSI = 100 - 100 / (1 + average gain / average loss)
  • ATRATR(n) = moving average of True Range over n periods

Reference research

  • Simple Technical Trading Rules and the Stochastic Properties of Stock ReturnsBrock, Lakonishok, LeBaron, 1992
  • Returns to Buying Winners and Selling Losers: Implications for Market EfficiencyJegadeesh & Titman, 1993
  • Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical ImplementationLo, Mamaysky, Wang, 2000
  • Efficient Capital Markets: A Review of Theory and Empirical WorkFama, 1970

Related indicator links

SMAEMARSIMACDBollinger BandsATRVolumeSupport and ResistanceEfficient Market Hypothesis

Caution summary

Too many signals can duplicate evidence or overfit the chart.

Trend-following analysis

Use moving averages, slope, pullbacks, and trend failure checks.

Included formulas

  • SMASMA(n) = sum(Close over n periods) / n
  • EMAEMA(today) = Close(today) x k + EMA(yesterday) x (1 - k), k = 2 / (n + 1)
  • Moving average spreadMA spread = short MA - long MA

Reference research

  • Simple Technical Trading Rules and the Stochastic Properties of Stock ReturnsBrock, Lakonishok, LeBaron, 1992
  • Returns to Buying Winners and Selling Losers: Implications for Market EfficiencyJegadeesh & Titman, 1993

Related indicator links

SMAEMAMACD

Caution summary

Moving-average signals lag and can whipsaw in sideways markets.

Support and resistance analysis

Map key levels, breakouts, failed breaks, retests, and invalidation zones.

Included formulas

  • Range midpointMidpoint = (range high + range low) / 2
  • Breakout distanceBreakout distance = Close - resistance, or support - Close
  • ATR-adjusted level bufferLevel buffer = ATR x chosen multiple

Reference research

  • Simple Technical Trading Rules and the Stochastic Properties of Stock ReturnsBrock, Lakonishok, LeBaron, 1992
  • Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical ImplementationLo, Mamaysky, Wang, 2000

Related indicator links

Support and ResistanceATRVolume

Caution summary

Levels are partly subjective and need enough reactions or volume context.

Momentum analysis

Check RSI, MACD, ROC, divergences, and strengthening or fading moves.

Included formulas

  • RSIRSI = 100 - 100 / (1 + average gain / average loss)
  • MACD lineMACD line = EMA(12) - EMA(26)
  • ROCROC = ((Close now - Close n periods ago) / Close n periods ago) x 100

Reference research

  • Returns to Buying Winners and Selling Losers: Implications for Market EfficiencyJegadeesh & Titman, 1993
  • New Concepts in Technical Trading SystemsJ. Welles Wilder Jr., 1978
  • MACD methodologyGerald Appel, 1979

Related indicator links

RSIMACDROC

Caution summary

Momentum can stay stretched, and divergences may appear early.

Volatility analysis

Frame ATR, Bollinger Bands, range expansion, compression, and noisy price action.

Included formulas

  • ATRATR(n) = moving average of True Range over n periods
  • Bollinger BandsUpper band = SMA(n) + k x standard deviation; lower band = SMA(n) - k x standard deviation
  • Band widthBand width = (upper band - lower band) / middle band

Reference research

  • New Concepts in Technical Trading SystemsJ. Welles Wilder Jr., 1978
  • Bollinger Bands methodologyJohn Bollinger, 1980
  • Efficient Capital Markets: A Review of Theory and Empirical WorkFama, 1970

Related indicator links

ATRBollinger Bands

Caution summary

Volatility measures look backward and can change quickly.

Volume analysis

Assess participation, breakout confirmation, exhaustion, and distribution clues.

Included formulas

  • Relative volumeRelative volume = current volume / average volume over n periods
  • Volume changeVolume change = (current volume - prior volume) / prior volume
  • Volume-price confirmationConfirming move = price direction and volume expansion aligned

Reference research

  • Simple Technical Trading Rules and the Stochastic Properties of Stock ReturnsBrock, Lakonishok, LeBaron, 1992
  • Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical ImplementationLo, Mamaysky, Wang, 2000

Related indicator links

VolumeSupport and Resistance

Caution summary

Volume quality differs by market and can confirm or exhaust a move.

Pattern analysis

Name only supported chart patterns with validation, invalidation, and failure cases.

Included formulas

  • Pattern measured moveMeasured move = breakout level +/- pattern height
  • Pattern heightPattern height = pattern high - pattern low
  • Breakout validationValidation = close beyond level + volume/volatility confirmation

Reference research

  • Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical ImplementationLo, Mamaysky, Wang, 2000
  • Efficient Capital Markets: A Review of Theory and Empirical WorkFama, 1970

Related indicator links

Support and ResistanceVolumeATR

Caution summary

Pattern recognition can be subjective and needs enough chart history.

Risk-first analysis

Start from downside levels, invalidation, volatility buffers, and adverse scenarios.

Included formulas

  • Downside distanceDownside distance = current price - key support
  • ATR risk bufferRisk buffer = ATR x chosen multiple
  • Reward-to-risk mapReward-to-risk = upside distance / downside distance

Reference research

  • New Concepts in Technical Trading SystemsJ. Welles Wilder Jr., 1978
  • Efficient Capital Markets: A Review of Theory and Empirical WorkFama, 1970

Related indicator links

ATRSupport and ResistanceEfficient Market Hypothesis

Caution summary

Risk maps need current price, reliable levels, and gap-risk awareness.

Timeframes

Choose at least one timeframe for the chart analysis prompt.

Enter a ticker or stock name.

Generated prompt for ChatGPT

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