Trading 101 Market Types Perpetuals & Leverage Indicators Market Regimes Risk Management How Vektor Fits In
Trading Education

Everything you wanted to know
but were afraid to Google.

No jargon. No fluff. Just the things that actually matter — explained like a smart friend who happens to trade for a living.

📈 Trading basics 🌍 Market types ⚡ Leverage & perps 📊 Indicators 🧭 Market regimes 🛡️ Risk management
Chapter 01

What is trading — and why does it exist?

Before we get into indicators and leverage, let's make sure we're speaking the same language.

🤝
Trading is just exchanging value
At its core, trading is one person buying an asset from another. One person thinks the price will go up. The other disagrees, or needs cash. They transact. That's it.
💸
Markets exist to set fair prices
Millions of buyers and sellers constantly negotiating creates a "fair" price for everything — stocks, currencies, gold, crypto. Without markets, no one knows what anything is worth.
🕐
Time is your biggest variable
Long-term investors hold for years. Day traders hold for minutes. Both are "trading." The difference is timeframe — and how much attention you need to pay.
💡 Simple analogy
Imagine a street market selling apples. Early morning, there are few buyers — prices are low. By noon, everyone wants apples — price goes up. By evening, sellers want to go home — prices drop again. Financial markets work exactly like this, just at enormous speed and scale across millions of participants.

Buying vs Selling — and going "short"

In regular life, you can only profit if you buy something cheap and sell it expensive. But in financial markets, you can also profit from prices going down — this is called going short.

Short selling means you borrow an asset, sell it at the current price, then buy it back later at a lower price. The difference is your profit. It sounds complicated, but most trading platforms handle all the mechanics automatically.

🧠 Key insight
In traditional investing, markets going down means everyone loses. In active trading, you can profit in any direction — up, down, or sideways. This is why systems like Vektor scan for both LONG and SHORT opportunities.

What moves prices?

  • News & events — earnings reports, economic data, regulatory decisions, tweets from influential people
  • Supply and demand — when more people want to buy than sell, price goes up, and vice versa
  • Liquidity — how many buyers and sellers are active. Thin markets move more violently
  • Sentiment — fear and greed are real forces. When everyone panics, prices crash regardless of fundamentals
  • Large players — institutions, hedge funds, and "whales" can move markets just by placing large orders
Chapter 02

Types of markets

Not all markets are created equal. Each has its own rhythm, hours, and quirks.

MarketWhat you're tradingHoursVolatilityEntry barrier
📈 Stocks Ownership shares in companies (Apple, Tesla, etc.) Mon–Fri, ~8 hours/day Moderate Low — most brokers free
₿ Crypto Digital assets (BTC, ETH, SOL, etc.) 24/7/365 High Very low — $10 to start
💱 Forex Currency pairs (EUR/USD, GBP/JPY, etc.) Mon–Fri, 24h/day Low–moderate Low
🛢️ Commodities Physical goods (Gold, Oil, Silver, Wheat) Market hours + overnight Moderate Low via ETFs/futures
📊 Indices Baskets of stocks (S&P 500, NASDAQ, DAX) Market hours Low–moderate Low via ETFs/CFDs
₿
Crypto — the wild west
Crypto markets never sleep and can move 20%+ in a day. High risk, high reward. Heavily influenced by sentiment, news, and whale activity. The volatility that scares most people is exactly what creates opportunity.
📈
Stocks — the classic
Company shares have real underlying value (earnings, assets, growth). More regulated, more predictable. Major moves happen around earnings reports and economic data. Great for swing trading.
🥇
Commodities — tangible value
Gold is the classic "safe haven" — people buy it when they're scared. Oil moves with geopolitics and economic activity. These markets are often slower but very trend-following.
📊
Indices — the big picture
Trading the S&P 500 is like betting on the entire US economy. Indices smooth out individual stock drama and reflect broader market sentiment. Good proxy for "how is the world feeling today."
📡 How Vektor uses this
Vektor scans 92 instruments across all these categories simultaneously — crypto, stocks, commodities, and indices. This gives the AI a broader picture of global risk appetite and helps it avoid correlated trades that would amplify losses.
Chapter 03

Perpetuals & leverage — the powerful stuff

This is what Vektor primarily trades. It sounds intimidating but the concept is straightforward.

What's a futures contract?

A futures contract is an agreement to buy or sell an asset at a set price on a future date. Instead of owning Bitcoin itself, you own a contract that tracks Bitcoin's price. This lets you speculate on price movements with less capital.

What makes a perpetual contract special?

A regular futures contract expires — at some point you have to settle. A perpetual contract has no expiry date. You hold it as long as you want (or can afford to). This makes them incredibly popular for short-term active trading.

💡 Think of it like this
Regular futures = booking a hotel room for a specific check-out date. Perpetual contracts = renting month-to-month with no end date. You stay as long as you keep paying (or in trading terms, as long as the position is profitable or your margin holds).

Leverage — the multiplier

Leverage lets you control a larger position than your actual capital. With 5x leverage, you put up $100 but control a $500 position. A 2% move in your favour earns you $10 (10% on your $100). But a 2% move against you also loses $10.

1x
No leverage — $100 controls $100
5x
$100 controls $500 · 2% move = ±10%
10x
$100 controls $1,000 · 2% move = ±20%
20x+
High risk · Small moves = big swings
⚠️ The catch
Leverage amplifies both wins and losses. If the market moves far enough against you, you get liquidated — your position is automatically closed and you lose your margin. This is why stop-losses and position sizing are non-negotiable, not optional.

Funding rates — the cost of holding

Because perpetuals have no expiry, exchanges use a funding rate mechanism to keep the price anchored to the real asset. Every 8 hours, longs pay shorts (or vice versa) a small fee.

  • Positive funding rate → longs pay shorts → market is bullish and crowded
  • Negative funding rate → shorts pay longs → market is bearish
  • Extreme funding rates are signals themselves — they indicate overcrowded positions about to reverse
📡 How Vektor uses this
Vektor monitors funding rates as one of its 8 signal layers. A symbol with strongly negative funding in a bullish regime is an interesting long — you get paid while you hold the trade. Conversely, extreme positive funding warns that a "crowded long" could unwind fast.
Chapter 04

Market indicators — how traders read charts

Indicators are mathematical formulas applied to price and volume data. They don't predict the future — they describe the present clearly.

🧠 Important mindset shift
No single indicator is right all the time. The real edge comes from confluence — when multiple independent signals agree. This is exactly what Vektor's multi-agent system is designed to find.
TREND
Moving Average (MA / EMA)
Smooths out price noise by averaging past prices. When price is above the moving average, the trend is up. When it's below, the trend is down. The EMA (exponential moving average) reacts faster to recent changes. Crossovers — when a short MA crosses a long MA — are classic entry signals.
MOMENTUM
RSI — Relative Strength Index
Measures how fast prices are moving on a 0–100 scale. Above 70 = overbought (might be due for a pullback). Below 30 = oversold (might bounce). In strong trends, RSI can stay overbought for a long time — context matters.
MOMENTUM
MACD — Moving Average Convergence Divergence
Tracks the relationship between two moving averages. When the MACD line crosses above the signal line, it's a bullish signal. Below = bearish. The histogram shows the momentum of the move — growing bars mean accelerating momentum.
VOLATILITY
TTM Squeeze
Identifies periods when price is coiling — compressing into a tight range before an explosive move. When the "squeeze fires," it signals that energy has been released and a strong directional move is likely. Vektor specifically watches for squeeze firings as high-conviction setup triggers.
TREND
Supertrend
A clean trend-following indicator that gives a clear LONG or SHORT signal based on ATR (Average True Range). When price is above the Supertrend line, you're in an uptrend. Simple, effective, and used by Vektor as one of its stop-loss anchors.
VOLUME
OBV — On-Balance Volume
Adds volume on up days and subtracts it on down days. The idea: if big players are accumulating a position, volume flows show it before price does. Divergence between OBV and price is a powerful early warning signal.
VOLUME
CVD — Cumulative Volume Delta
Tracks whether buyers or sellers are more aggressive by comparing buy-initiated vs sell-initiated volume. Positive CVD means buyers are dominant. Negative means sellers are in control. Useful for confirming whether a move has real conviction behind it.
VOLATILITY
ATR — Average True Range
Measures how much an asset typically moves in a given period. High ATR = volatile market. Low ATR = quiet market. Vektor uses ATR to dynamically set stop-losses — wider stops in volatile markets, tighter in calm ones.
MOMENTUM
VWAP — Volume Weighted Average Price
The average price weighted by volume throughout the day. Institutional traders often use VWAP as a benchmark. Price above VWAP = intraday bullish. Price below = bearish. Strong moves that start at VWAP tend to have institutional backing.
Chapter 05

Market regimes — reading the room

The same strategy that works beautifully in one market condition can destroy you in another. Knowing the regime is everything.

A market regime describes the overall "mood" or condition of the market at a given moment. Is it trending up aggressively? Drifting down? Moving sideways with no clear direction? Each regime calls for a different approach.

🚀
Strong Bull
Prices rising consistently across most assets. Positive sentiment, institutional buying, strong momentum. The "everything goes up" phase.
→ Favour LONG trades · Higher confidence threshold
📈
Bull
Upward bias but less conviction than strong bull. Some assets outperform. Good for selective longs, more careful with shorts.
→ Lean LONG · Watch for reversals
🌊
Neutral
No clear directional bias. Markets are choppy or ranging. Breakouts fail. Mean-reversion setups work better than trend-following.
→ Be selective · Tighter stops · Smaller size
🐻
Bear
Downward pressure, negative sentiment building. Risk-off environment. Bounces get sold. Longs require extra conviction.
→ Lean SHORT · Reduce long exposure
🔴
Strong Bear
Sustained selling across markets. Fear is dominant. Even good news gets ignored. The "everything goes down" phase.
→ Favour SHORT trades · Defensive sizing

How Vektor classifies the regime

Vektor runs a multi-timeframe regime classifier every scan cycle, looking at price action, momentum, volatility, and funding rates across crypto, equities, commodities, and forex simultaneously. The idea: a true regime shift shows up across asset classes, not just one market.

  • If crypto is bullish but stocks are crashing → mixed signal → neutral regime
  • If crypto, stocks, and commodities are all rallying simultaneously → strong bull
  • If everything is dropping with negative funding and high fear → strong bear

The regime directly affects the confidence threshold required to enter a trade, the maximum number of positions in any one direction, and the leverage targets for new entries.

🧭 Why this matters so much
Most retail traders lose because they use the same strategy in all conditions. Going long in a strong bear market feels brave — it's actually just ignoring the evidence. Regime awareness is the single most important edge a systematic trader can have.
Chapter 06

Risk management — the boring part that actually wins

Every successful trader has one thing in common: they are obsessively disciplined about not losing too much on any single trade.

💡 The most important insight in trading
You don't need to be right most of the time to be profitable. If you win $3 when you're right and lose $1 when you're wrong, you can be right only 30% of the time and still profit. Risk management is how you engineer that asymmetry.
01
Stop-loss — the emergency exit
A stop-loss is a pre-defined price level where you automatically exit a losing trade. It's not an optional extra — it's the foundation of trading survival. Without it, one bad trade can wipe out months of gains. Vektor sets every trade with an ATR-based or Supertrend stop automatically.
02
Position sizing — how much to risk
Risking the same fixed dollar amount on every trade — regardless of conviction — is a mistake. The Kelly Criterion is a mathematical formula that tells you the optimal position size based on your historical win rate and average win/loss ratio. Vektor recalculates this in real-time as new trades come in.
03
Trailing stop — locking in gains
A trailing stop moves up with the price as a trade goes in your favour. If the price then reverses, the stop closes the trade — but you've already locked in some profit. The art is setting the trail wide enough that normal volatility doesn't kick you out, but tight enough to protect gains.
04
Drawdown limits — protecting the account
Drawdown is how far your account has fallen from its peak. A 5% drawdown is annoying. A 50% drawdown needs a 100% gain just to recover. Vektor implements automatic circuit breakers: a 5% daily loss pauses new entries, and a 15% peak drawdown halts all trading until recovery. Non-negotiable guardrails.
05
Correlation — don't hold 5 versions of the same trade
If you're long BTC, ETH, SOL, and AVAX at the same time — you don't have 4 trades. You have 1 trade, 4 times. When crypto dumps, all 4 lose simultaneously. Vektor monitors correlation across open positions and limits same-direction exposure to 3–5 positions depending on regime confidence.
🚨
The #1 mistake beginners make
Not using stop-losses, or moving them further away when the trade goes against them. "I'll hold until it comes back" is how small losses become account-ending losses. The market doesn't care what price you bought at.
✅
The correct mindset
Define your maximum acceptable loss before entering the trade. If that loss amount is hit, exit — no questions, no hoping. Your job isn't to be right; it's to stay in the game long enough for your edge to play out over hundreds of trades.
Chapter 07

How Vektor puts it all together

Now that you understand the building blocks, here's how Vektor uses them in every scan cycle.

①
Market scan — 92 instruments, every 2 minutes
Vektor collects price, volume, funding, and order book data for every instrument. This raw data feeds the signal pipeline.
②
Regime classification
The macro regime is assessed across asset classes. This sets the "mood filter" — how aggressive to be, which direction to favour, and how high the confidence bar needs to be.
③
Technical triage — 8 signal layers
MACD, RSI, TTM Squeeze, Supertrend, VWAP, OBV, CVD, and multi-timeframe alignment are all computed. Symbols that show confluence across multiple indicators move forward; the rest are discarded.
④
AI consensus — strategy + technical + vision
Three independent signals vote on each opportunity. The combined confidence score must cross the threshold (typically 65–70%) for the trade to proceed. No single agent can override the others.
⑤
Claude Final Gate — portfolio context
Claude reviews all passing signals together, considering current open positions, correlations, regime strength, and portfolio exposure. It can APPROVE, REJECT, or REDUCE SIZE on each trade.
⑥
Kelly sizing + dynamic leverage
Position size is calculated using Kelly Criterion based on live win rate and avg win/loss. Leverage is set dynamically — higher in high-confidence setups in confirmed regimes, lower in uncertain conditions.
⑦
Trade execution + live monitoring
The order fires. ATR-based or Supertrend stops are set immediately. Trailing stops activate as the trade profits. Positions are monitored every cycle for regime changes, stale exits, or new conflicting signals.

See it live with real trades

The demo page shows Vektor's live paper account — real signals, real positions, real reasoning. No signup needed.

View live demo → Start free trial