Rajesh Kumar Nait / 프로필

Myths for me which I completely disagree:
1. News and Fundamental analysis impact market but it also go against technical analysis or price action
2. Using an indicator can make you successful
3. Fibonacci calculations does not work
4. You do not need custom analysis assistant build on mt5 or other program before you do analysis
5. You can trade and be successful from smartphone or tablet or promotion of portability in trading.

게재된 포스트 Crypto Ticks and Depth Documentation

Is there any way to draw MA only between two indices and not whole chart?

https://www.youtube.com/watch?v=ApxzwEg4qes
1 year ago i was enjoying this song, my favorite

How can I use my GTX 970 in trading research?
1. Running Trading & Charting Software
Most trading platforms (e.g., TradingView, NinjaTrader, MetaTrader, ThinkorSwim) rely more on CPU, but they also use GPUs for rendering charts and handling multiple monitors. GTX 970 can:

Smoothly run multiple charts and indicators.
Handle multiple monitors (good for multi-timeframe analysis).
Speed up heatmaps and visualizations of market data.
2. Accelerating Data Analysis & Backtesting
If I am using Python for market research, I can use NVIDIA’s CUDA for faster computations.

Backtesting libraries: I may Use Backtrader or Zipline with GPU acceleration for strategy testing.
Data analysis: Use cuDF (GPU-accelerated pandas) to handle large market datasets faster.
Machine learning: If you're training AI models for price prediction, NVIDIA’s TensorFlow with CUDA can offload computations to your GPU.
3. Running AI/ML Models for Market Prediction
Even though the GTX 970 is older, it supports TensorFlow/PyTorch (CUDA 11.x max) for basic ML models.
I can train simple neural networks for pattern recognition in stock price movements.
Use libraries like TA-Lib (technical analysis indicators) along with GPU-accelerated data processing.
4. GPU-Accelerated Quantitative Research
Monte Carlo simulations: Speed up simulations for option pricing or risk analysis.
Reinforcement Learning (RL): Experiment with Deep Q-Learning (DQN) for algo trading.
Order Book Analysis: Use GPU-accelerated tools for processing high-frequency trading (HFT) data.
5. Cryptocurrency & Alternative Markets
If I trade crypto, GPU acceleration helps in on-chain analysis, sentiment analysis, or even mining
Some platforms like Cryptohopper or 3Commas allow GPU-based automation for backtesting trading bots.
Limitations of GTX 970 for Trading
✅ Good for visualization, backtesting, and basic AI research.
❌ Not great for heavy deep learning or handling massive datasets.
❌ Limited VRAM (4GB) makes it unsuitable for high-end models.

Solving trading problem is like understanding this equation by a non-mathematician

3 things I avoid watching as a day trader
1. Any indicator such as MA and Volumes
2. Any chart except Renko and Candlesticks
3. News and Fundamentals

I am a fan of pc game series "STALKER" my favorite part is STALKER : Shadow of chernobyl. Recently Stalker 2 is released but my GTX 970 is not able to handle it. In this game there is a strange thing called "anomaly". The player confirms the anomaly by throwing a nut bolt. If electric shock appears then its confirmed to be anomaly. If you walk over anomaly without confirming it will give you huge shock and decrease health of player.

These anomalies are usually distributed on ground only 10-20% area
I believe in financial market same way anomalies are distributed which makes it impossible to win each time. Traders see something working with damn high accuracy and when they invest they lose, they make mistakes then they regret due to these anomalies in market. But we can identify these by documenting your journal and once we keep ourself aware about it, No body can stop making us money.

Mini printer is amazing. My first print

As a scalper, confidence is a key to success
1. Be confident about your TP Level, As you can see in screenshot, price reversed early from TP but later came back near my level. If i panic and exit and same place i added entry, I become a loser. If we dont have confidence, we cant succeed,

From where this confidence comes?
Its coming from your strategy testing. When we test strategy it looks normal scenario but when in real you see $$$ in profit and then these $$$ start disappearing, you develop emotion, and when you develop emotion your losing chances and making errors rate becomes so high

To solve market and earn money, a trader needs to solve 3 main problems
1. Direction
2. setup
3. confirmation

90% of researcher may find setup in market
30% still manage to find a way to confirm an entry with almost sureshot
only 5% i believe may find a solution to find direction in market
Even I am not able to find way to "direction"
due to this my SL hits most often even if i end up making profit in end of month
If i will be able to solve how to find direction, it can change everything

I have tried SMC, CHOCH, Elliot waves, Candle Pullbacks and dozens of complex methods,
still not able to solve this.

게재된 포스트 Applicable Laws in Trading research

Happy New Year !! May 2025 brings lots of financial success using MQL5.

게재된 코드 Perfect Seconds Chart

게재된 포스트 Learn use of Class in mql5

게재된 포스트 Strategy Optimization Process

My personal Fibo EA (in MQL5) which seems impossible for me to code when I did not know MQL5 but today its successfully built and also giving me bread and butter. Coded only in 709 lines of codes

What you use for your EA maxima minima?
1. Custom Self Developed Algorithm
2. ZigZag
4. Fractal or any other indicator such as MA
5. Chart Patterns such as Double Bottom
6. Any other (Comment)

게재된 포스트 Markov Chain