Fibonacci is based on natural ratios (like 0.618) found everywhere β plants, galaxies, and the markets.
In trading:
We use it to find potential pullback zones within a move.
π Key Levels:
0.236 β Weak pullback
0.382 β First bounce
0.5 β Neutral zone (not a true Fib level, but used)
0.618 β Golden retracement
0.786 β Deep retracement (Smart Money favorite)
2) How to Plot Fibonacci (Correctly)
β Most plot it from random highs/lows.
β Hereβs the correct way:
π Identify an impulsive move (clear trend leg)
π Plot Fib from swing low to swing high (in uptrend)
π Or swing high to swing low (in downtrend)
π₯ Plot from body-to-body for Smart Money accuracy (not wick)
Smart Money Concepts (SMC) β Trade Like Institutions π§ π§΅
Tired of late entries, fake breakouts & random indicators?
Time to learn Smart Money Concepts (SMC) β the trading style used by institutions, banks & prop firms.
In this advanced thread:
β What is SMC
β All key concepts
β Strategies & setups
β SL, targets, examples
β FVG, OB, Liquidity, BOS
π
#Wipro
1) What is Smart Money Concepts (SMC)?
SMC is a price action-based trading approach that focuses on:
π How big players (institutions, banks) move markets
π Finding liquidity zones
π Spotting manipulation traps
π Entering where smart money enters β not where retail chases
β No indicators
β Pure logic, structure, and clean entries
2) Key Pillars of SMC
Here are the core concepts every trader must master:
Master the Fisher Transform Indicator β Advanced Trading Thread π§΅
Ever wish you could turn messy price action into clean buy/sell signals?
Thatβs what Fisher Transform does β it turns price into a normal distribution so you can catch early reversals like a pro.
In this thread:
β What is Fisher Transform
β How it works
β All trading strategies
β SL, Target, Timeframe
β Options/Futures use
β Indicator combos
Letβs go π
#nseindia
1) What is the Fisher Transform?
π Fisher Transform is a momentum reversal indicator.
It converts price data into a Gaussian Normal Distribution (bell curve).
β Makes trend reversals sharper, clearer, and faster
β Filters out random noise
β Works best for oscillating markets
It was developed by John Ehlers, based on probability theory.
2) How Fisher Transform Works
It calculates the transformation as:
iniCopyEditFisher = 0.5 Γ ln[(1 + X) / (1 - X)]
Where X is a scaled price (typically from a 9-period median price).
π The output fluctuates between +β to -β, but practically stays within +2.0 to -2.0.