Rajesh Kumar Nait / Профиль

Many of my publication are removed. Mods are deleting. No notification, no reason explanation.

Coding your EA in MQL5 is dream come true. Its very tough but not impossible. Here is how you can do that. 1. Learn MQL5 2. Code your EA: In my case my EA is 100% Pure Price action which involves no indicator. its only based on OHLC info of candlestick, To code any EA you must have logic. if you have logic then you either need a programmer or code your EA yourself for success in financial market. 3. Coding an EA will show you truth about trading because programming dont lie. Programming is based on logic and its the heart of "mechanical system" in financial market. When you trade with any strategy you just found to be working for few days, You may win for few days but you lack data about how it performed on last 1 years of chart. AI suggest to trade any strategy on 1min chart, you need to test on atleast last 100 trades or minmum 6 months of chart. So do no trade and waste your money because you think something works or you have a holy grail. But only start trading when you have a backtest data which supports you which is only possible by coding EA, backtesting it and optimizing it. optimizing EA is very tough, You have to play with parameters to get the result which you feel confident to trade with $100k. IF you do not have logic or time to think about strategy, Rent H200 GPU and feed your neural network until it satisfy you with a million dollar profit making strategy as fast as possible.

Опубликовал пост The World's Best Risk Strategy: Kelly Criterion

Опубликовал пост Wavelet Transform and why people used it to denoise 1min chart and its comparison with Fourier Transform

Опубликовал пост Institutional Trader's Secret

Опубликовал код Candle Signature

Опубликовал пост Script for Pionex API EA Connector for MT5

To be a successful trader
1. Learn to adapt as per situation
2. Never Be Determined

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.

Опубликовал пост 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