120K+
Learners reached
Planitt connects structured courses, educational algos, and contextual signal labels in a single learning loop — built for clarity, not hype. Registered for Mutual Funds only.
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Education
Learn the framework
Active module
Foundation tracks
Guided modules with checkpoints and recap quizzes.
Mentored cohorts
Live reviews connecting theory to real scenarios.
Practice lab
Simulations and journals for disciplined decisions.
120K+
Learners reached
45+
Structured lessons
18
Trading algos
5
Signal label types
Education
Structured programs across Indian equities, forex, F&O, crypto, and trader psychology. Sign in to access the full catalog — no pricing on this preview page.
Master Indian market fundamentals and technical strategy playbooks for real trades.
Complete forex journey with full trading fundamentals and technical strategy execution.
From options basics to advanced technical setups with practical execution workflows.
Build a robust crypto process with fundamentals and high-volatility technical systems.
Strengthen mindset and discipline so technical strategies are executed with consistency.
Build, test, and deploy rule-based trading systems from automation basics through live execution.
Trading algorithms
For teams and traders who want systematic execution, we offer trading algorithm solutions aligned to strategy, speed and market workflow.
Execution logic
Rule-based and signal driven trading systems.
Strategy fit
Built for multi-market workflows and faster decisions.
Technical support
Connect directly for buying or implementation queries.
Algorithm engine
Algorithm engine
algo_strategy.py
import numpy as npdef macd_strategy(df, f=12, s=26, sig=9): ema_fast = df['close'].ewm(span=f).mean() ema_slow = df['close'].ewm(span=s).mean() df['MACD'] = ema_fast - ema_slow df['MACD_sig'] = df['MACD'].ewm(span=sig).mean() df['MACD_hist'] = df['MACD'] - df['MACD_sig'] df['Signal'] = np.where( df['MACD'] > df['MACD_sig'], 'BUY', np.where(df['MACD'] < df['MACD_sig'], 'SELL', 'HOLD') ) return dfAlgorithm library
Preview algorithm specifications — transparent rules, styles, and review workflows.
Trend + Momentum
Win rate: 69%
Frequency: Daily active
Breakout + Trend
Win rate: 71%
Frequency: Daily active
Swing Trading
Win rate: 68%
Frequency: 4-8 signals/week
Multi-Asset Bundle
Win rate: Mixed by strategy
Frequency: Daily active
Educational signals
Interactive signal framework — tap each label to see how we frame setups for education, not advice.
BUY / STRONG_BUY
Bullish setup examples with entry, stop-loss, and target zones for learning.
How it works
Education → algos → signals. One connected workflow on web and mobile.
“The experience is polished, clear, and easy to learn from every day. The signal notes and risk framing are especially useful.”
Sharper execution discipline in 6 weeks
“Planitt combines signal and context in a structured way. Our team now reviews entries with better confidence and fewer impulsive decisions.”
Better decision quality across the team
“The learning workflow is significantly clearer than most retail platforms. Signals, notes, and tools are aligned for actual use.”
Higher conviction, lower confusion
“The experience is polished, clear, and easy to learn from every day. The signal notes and risk framing are especially useful.”
Sharper execution discipline in 6 weeks
“Planitt combines signal and context in a structured way. Our team now reviews entries with better confidence and fewer impulsive decisions.”
Better decision quality across the team
“The learning workflow is significantly clearer than most retail platforms. Signals, notes, and tools are aligned for actual use.”
Higher conviction, lower confusion
“The experience is polished, clear, and easy to learn from every day. The signal notes and risk framing are especially useful.”
Sharper execution discipline in 6 weeks
“Planitt combines signal and context in a structured way. Our team now reviews entries with better confidence and fewer impulsive decisions.”
Better decision quality across the team
“The learning workflow is significantly clearer than most retail platforms. Signals, notes, and tools are aligned for actual use.”
Higher conviction, lower confusion
“I use Planitt daily for structured market study. The platform helped me build a repeatable process instead of random trade ideas.”
From random trades to a repeatable system
“The biggest win is how quickly I can move from market news to signal interpretation. Everything feels connected and practical.”
Faster research-to-action workflow
“Planitt made technical learning less intimidating. The app explains what matters and helps avoid noise during live sessions.”
Confidence boost for new learners
“I use Planitt daily for structured market study. The platform helped me build a repeatable process instead of random trade ideas.”
From random trades to a repeatable system
“The biggest win is how quickly I can move from market news to signal interpretation. Everything feels connected and practical.”
Faster research-to-action workflow
“Planitt made technical learning less intimidating. The app explains what matters and helps avoid noise during live sessions.”
Confidence boost for new learners
“I use Planitt daily for structured market study. The platform helped me build a repeatable process instead of random trade ideas.”
From random trades to a repeatable system
“The biggest win is how quickly I can move from market news to signal interpretation. Everything feels connected and practical.”
Faster research-to-action workflow
“Planitt made technical learning less intimidating. The app explains what matters and helps avoid noise during live sessions.”
Confidence boost for new learners
FAQ
Quick answers about education, algos, and signals. Visit support for account help.
Signals combine technical indicators, multi-timeframe checks, and confidence filters. They are provided for educational purposes only and are not investment advice.