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Aucune formation préalable en analyse de marché. S’appuie sur l’arithmétique, des définitions et des fiches guidées ; le code est facultatif.

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What a market is, and who is on the other side
Stocks, forex and crypto: three markets compared
Exchanges, brokers and data feeds: who does what
Bid, ask and spread: the cost of crossing
Volatility in plain words
Technical, fundamental, quant: three lenses
The five numbers behind every price bar
Order types in one picture: market, limit, stop
Market hours and the 24/7 crypto clock
Indices and ETFs: baskets you can chart
Crypto market basics: pairs, venues and stablecoins
What moves markets: news, flows and expectations
Research first: what a research workspace is for
How to read a candlestick in 60 seconds
Timeframes: zoom in without losing the plot
Linear vs log scale: when the y-axis misleads
Volume basics: the participation behind a move
What an indicator is: a formula, not a forecast
What fundamental analysis looks at
Returns: simple, log and percentage points
Risk first: define the loss before the idea
Where market data comes from
How to read a market headline without being misled
Market foundations quiz: 12 quick questions
Analysis, not advice: why we describe, not predict
Candles, bars or lines: choosing a chart type
Trends, ranges and the moments between
The eight indicator families on one map
RSI playbook: momentum on a 0–100 scale
Stochastic oscillator playbook
ATR playbook: volatility as distance
The income statement in one picture
The balance sheet in one picture
Macro in five minutes: growth, inflation, rates
Standard deviation: volatility as a number
Probability for analysts: base rates first
Discretionary vs rules-based research
Position sizing in four steps
What a stop-loss does, and what it doesn't
Process vs outcome: judging decisions fairly
What a screener does: filters, not picks
Bring your own keys
Data quality: gaps, spikes and duplicates
Support and resistance: zones, not lines
Swing highs and lows: the skeleton of price
MACD playbook: three lines, one idea
RSI vs stochastic: same question, different math
Bollinger Bands® playbook: volatility around an average
The economic calendar: what is released and when
Inflation reports decoded: CPI and PCE
Distributions and fat tails, in pictures
Expectancy: the average outcome of a rule
From idea to tested rule
Risk-reward and win rate, together
Cognitive biases at the chart
The pre-trade checklist
Journaling 101: what to record and why
Screen a universe down to a watchlist
How to study patterns without memorising predictions
Anatomy of a rule: entry, exit, size, filter
Build a review habit
Your first visual strategy graph
Backtest, paper trading and forward testing
Your first backtest, step by step
Reading a backtest report: metrics that matter
Equity curves and drawdowns: reading the shape
Liquidity: why some prices move in jumps
Currency pairs decoded: base, quote and pips
Splits, dividends and other chart-changing events
Market mechanics cheat sheet
World market clock: sessions and overlaps
Your first week of market research: a calm plan
Gaps: why price sometimes skips
Y-axis playground: linear vs log
The daily candle changes when the time zone does
Rate of change and momentum playbook
Why we show the formula behind every indicator
Slippage: the gap between plan and fill
The cash flow statement in one picture
Primary filings: where the real numbers live
When averages disagree: arithmetic vs geometric
Drawdowns: depth, duration and recovery math
A workspace with one job per panel
Time zones and session boundaries in data
What local-first means for your research data
Overbought is not a sell button
Moving average crossovers: what they measure
Williams %R playbook
Indicator families cheat sheet
Moving-average lag playground
How the three statements connect
Margins: what each layer of profit reveals
Earnings per share and the share count behind it
A company can report a profit and still burn cash
Jobs reports decoded
GDP and PMIs: two growth snapshots
Central banks and interest rates
Correlation without the confusion
Random walks can draw convincing patterns
Compounding and the arithmetic of losses
Drawdown recovery calculator
When a winning trade was a poor decision
Workspace layouts: five setups for five jobs
A 20-minute morning research routine
Adjusted vs unadjusted prices
Two data providers disagree: what to check
Data quality checklist
Trendlines and channels without wishful drawing
Your first chart walkthrough: describe, don't predict
Chart reading cheat sheet
Pivot points playbook
Earnings season decoded: reports, calls, surprises
Dividends: yield, payout ratio and key dates
Financial statements cheat sheet
Nominal vs real: adjusting for inflation
Macro release cheat sheet
Sample size: how many trades is enough?
R-multiples: outcomes in units of risk
Risk management cheat sheet
FOMO starts before the chart opens
Revenge trading, examined as a journal question
Overtrading: when activity isn't progress
A research routine around a full-time job
Journal template pack
A journal you can keep in five minutes
Build your first screen in five filters
Your watchlist is too large to answer a question
How to read a Pattern Atlas card
Signals, orders and fills: three clocks
The one-page strategy spec
Bar replay: rehearse without hindsight
Screener filter cheat sheet
Doji family: when open and close meet
Spinning tops and high-wave candles
Hammer and hanging man: same shape, new place
Inverted hammer and shooting star
Marubozu: the candle with no wicks
Engulfing patterns: bodies that swallow bodies
Harami and harami cross: the inside candle
Candlestick patterns cheat sheet
Candle builder: drag a candle, see the rules
Piercing line and dark cloud cover
Costs, spreads and slippage in a backtest
Backtest sanity checklist
Bias spotter: name the bias in 10 scenarios
Spot the pattern: weekly challenge
Trend, noise or bounce? Guess the process
Trend, range or transition? A 10-chart challenge

Débutant

Indicateurs techniques

What a moving average actually tells you

Motifs graphiques et en chandeliers

A pattern's match score is not a probability

Backtesting et validation

What a backtest can prove, and what it can't