James Docs

How Technical Analysis Works

From asset selection to annotated chart — a walkthrough of the full analysis pipeline.

James processes every technical analysis request through a structured pipeline: raw price data is fetched, a set of 7 core indicators is computed, the results are passed to an AI model, and a detailed report is generated alongside annotated chart drawings. Each step is automated — you select an asset and timeframe, and the engine handles the rest.

Data Flow

1

Select asset and timeframe

Choose a trading pair from the supported asset classes (Crypto, Stocks, Forex, Futures) and pick a timeframe — from 5-minute scalping charts up to monthly investor views.

2

Fetch price data

Historical OHLCV (open, high, low, close, volume) data is pulled for the selected pair and timeframe. A sufficient candle window is retrieved to give all indicators enough history to produce accurate readings.

3

Compute 7 base indicators

RSI, MACD, EMA 20/50/200, Bollinger Bands, VWAP, Support & Resistance, and Elliott Wave Theory are all calculated against the price series. Each indicator produces a structured signal object, not just a raw number.

4

AI analysis

The structured signal data is assembled into a prompt and sent to an AI-powered model. The model interprets confluence across indicators, weights signals against the selected timeframe, and writes a coherent market assessment.

5

Report and chart annotations

The AI returns a structured report containing trend direction, key price levels, a directional prediction, and a set of chart drawings. These drawings are rendered as overlays on the interactive price chart.

Supported Asset Classes

Asset ClassExamplesNotes
CryptoBTC, ETH, SOL, BNB...Thousands of trading pairs
StocksAAPL, TSLA, NVDAMajor equities
ForexEUR/USD, GBP/JPY, USD/JPYMajor and minor FX pairs
FuturesES1!, NQ1!, CL1!Index and commodity futures

What the AI Produces

The AI does not simply list indicator values — it writes a structured analysis report. Each report contains a narrative section explaining the current market context, followed by discrete output fields covering:

Sentiment

An overall directional bias (Bullish, Bearish, or Neutral) derived from signal confluence across all active indicators. The AI weighs conflicting signals and explains its reasoning in plain language.

Key Price Levels

Significant support and resistance zones are identified from fractal analysis and Elliott Wave structure. These are presented as labelled horizontal zones on the chart, not just single price points.

Chart Drawings

The AI generates a set of annotated drawings — trendlines, level markers, Elliott Wave counts, and Fibonacci retracement targets — which are rendered directly on the interactive chart alongside your price candles.

Credit Cost

TierBase CostAdd-ons
Base Analysis1 creditIncluded: all 7 indicators + AI report
Standard Prediction+5 creditsFast AI market prediction layer
Advanced Prediction+15 creditsDeeper AI reasoning, more powerful model
Add-on Indicators+1 or +2 credits eachMACD Histogram, Thermal Map, Cycle Pulse, Smart Flow
Every analysis starts at 1 credit for the base report. Add-on indicators and market prediction tiers each add to the total before you submit. The credit cost is always shown clearly before you confirm.