This is a Windows-based application for NSE F&O analytics, covering all ~220 F&O underlyings. What's in it so far:

- Options: option chain with greeks, PCR analytics, max pain, volatility, straddle & strangle premium charts, and a Strategy Builder with payoff

- Open interest: OI Change, 3-Strike Range (ATM±1 change in OI, re-anchored to spot), OI Flow, Trending OI, a strike-by-strike ledger and OI walls

- Futures: futures board, basis & rollover, OI build-up across the universe (long/short build-up, covering, unwinding), OI vs time

- Market: screener, market overview heatmap with breadth, VIX vs index, FII/DII, and an end-of-day OI scan

- Charts: four panes (spot, future, CE, PE) with indicators; paper-trade or set an alert right from the chart

- Alerts: a no-code builder over price, OI, PCR, IV, build-up and indicators, on your watchlist or all of F&O, with a backtest over past days

- Paper trading: positions and P&L tracked on live prices

- Replay: after the close you can play the day back at 50x with everything above working inside it

The video is the 21 Oct session in Replay:

- Dashboard and watchlist from the open

- BANKNIFTY's Symbol page tabs, then RELIANCE from search

- Charts in four panes, a paper BUY on the 55800 PE and an alert set from the chart

- The alert builder and the alerts feed

- Strategy Builder: buy the 55500 PE, sell the 55000 PE, detected as a Bear Put Spread, sent to paper trading

- Seek forward to 1:44 PM: the PE is up ₹15k, I close it, and the spread is up ₹4k

Analytics only: it doesn't place orders and nothing in it is advice. The engine is Rust and the app is Tauri. The app uses multiple broker APIs.

It's still in beta, so if any manual F&O traders want to review it, DM me.

Most beginners enter the market dreaming of profits, but many end up losing money because they start without a plan.

I'm taking a different approach.

For the next 6 months, I'm saving ₹5,000 every month while learning Gold and Bitcoin trading.

My goal isn't to get rich overnight. It's to build a strategy, understand risk, and develop discipline before risking real money.

I'll document the journey honestly—every lesson, mistake, and milestone.

Day 1/180. Saving first. Learning second. Trading later.

What's one thing you wish you knew before your first trade?

Monday & Tuesday update

I was busy with family functions, so I couldn’t post my updates on time. Here’s the update for the last two trading days.

Gross P&L: 40,000
**Trading capital:**10 lakh
Additional profit target: 3 lakh
Maximum capital used over these two days: 10 lakh

I also replied to around 150 DMs for free. It’s difficult to explain everything properly over text, and I still have 83 DMs pending. This has made me realise I should create a more structured learning format, covering the process, setups, risk management and practical lessons in a clearer way.

Manual Index option buying based on momentum + volume + oi change/3strike.

I don't even know where to start, I'll just pour my rant here 😮‍💨

Well I was working on finding a profitable strategy more than 4-5 months for options buying on index but honestly testing more than 70+ strategies, nothing gives a profit factor and winrate to even achieve breakeven. Why it was frustrating, I used Claude Pro plan to define strategies finding logics applying them, fine tuning parameters but it's just burning tokens away without any results. 3months of spending more than 7.5k on AI costs+Broker API charges and destroying mental and physical health i don't even know whether it'll be possible at this point to see anything.

The one's who's already having something definitely won't tell you why would they?

Everyone will come and say that's why options selling is better but the real issue was for options selling you need more capital if I have that why would I need to do this, I should put them in safer arbitrage funds for short term, Bees or even do swing trading.

Just putting my trust on dumb luck if there is anyone who's willing to work with me or having a algo that available for testing or public ones I'm more happy to contribute.

Pls don't ask to me do everything by myself by only providing strategies found on random YouTube or somewhere else. I can contribute but not do everything without any help from other side!

I have been on it for roughly 3 months now, every spent 100s in AI costs, can't find a single strategy in options buying that actually is profitable.

I mean, not even 1 where PF > 1.25 and win rate > 40%.

Please give me some pointers!

If ever you wanted clean technical and financial data from official sources without paying a penny here you go , enjoy the dishes
https://github.com/abhij1306/NSE-pasta
https://github.com/abhij1306/NSE-noodles

Hi Algo fam,

I’m planning an algo-trading setup for intraday equities and looking for strategies to research and backtest.

For those running algorithms in live markets, which approaches have worked for you—momentum, mean reversion, opening-range breakouts, VWAP-based strategies, or something else?

I’d appreciate insights on:

• The strategy type, market, and timeframe you trade.
• How long you’ve been running it live.
• How live performance compares with your backtests after fees and slippage.
• The market conditions where it performs well or struggles.
• Any execution or risk-management lessons you’ve learned.

I’m also considering building a backtesting platform to test multiple strategies and compare their results. High-level descriptions and practical experiences would help me decide where to start.

Today we completed our first end-to-end backtest of our Regime-Adaptive Trend Pullback strategy using real historical Bybit candles.

**Test setup:**

- BTCUSDT, ETHUSDT, SOLUSDT

- 1-minute candles, 7-day evaluation

- $10,000 starting equity

- 1% planned risk per trade, including modeled costs

- Dynamic leverage from 5× to 20×

- Taker fee: 0.055% per side

- Modeled slippage: 0.02% per side

**Results:**

- 31 completed trades

- 13 TP / 18 SL

- Gross P&L: +$506.39

- Fees: −$1,238.56

- Slippage: −$450.39

- Provisional P&L: **−$1,182.55 (−11.83%)**

- Maximum drawdown: 13.63%

The strategy was positive before modeled costs but significantly negative afterward.

We also discovered a serious performance problem: repeated validation of the same historical data catalog inside the execution loop.

After fixing that bottleneck, the full seven-day backtest completed in 35 seconds. The original run had been interrupted after more than 46 minutes.

The backtest is still preliminary: historical funding costs aren't included, and the exchange's historical trading constraints haven't been independently verified.

**Next steps:** audit all 31 trades for correct fee/slippage accounting, investigate execution costs, and test a longer period without tuning the strategy to this particular week.

I'm curious how other developers handle this:

**When a strategy shows positive gross P&L but deeply negative results after fees, how do you distinguish a fundamentally unprofitable strategy from an overly conservative execution model or an accounting bug?**

Does anyone here need high quality real time technical data like, rsi, vwap, emas crossovers etc etc?

200 pre-vetted screens. Sub 1s latency delivered via websocket. I can do it faster on a paid plan later.

100+ technical indicators. NSE stocks + options + stock options.

Of course it is free.

Please comment if you have special requirement. I will share API keys in DM, but not immediately. I will be releasing next week. Posting here so that I haven't missed any requirement.

Thanks you for your attention to this matter.

Nifty opened gap down and s2 triggered within first 15min and book small SL. S3 gave another entry signal took that opportunity and booked the gain this time. But but s2 gave another big SL which i wasnt ready for. Its ok i know s2 's win rate is 52% so it will give SL. Well its a red day for me. Jio ipo as i posted gonna exit with 9 aty and hold 3 as gift. How was your day? Did you take any trade??

Hello everyone,

We are launching our private beta for Algorova and we will accept testers in batches.

Top features-

AI startegy maker- Plain english strategy maker, currently limited to options. Say in absolute basic terms like I have this much money and low risk apetite and it will start from there and build you the entire strategy as well as the fields.

Multi AI backtest- Same plain english, you can try saying something like try different stop loss and profit target andthe AI will create 5-10(limited to this now) combinations of the same strategy. Our backtesting engine will run all of them and show u results side by side.

Audit AI(very early version)- Shows why each trade was taken, will probably evolve into something different over time.

How to join: Go to algorova.com and click early beta private access and fill your name, email and what broker. Thats it.

Fouder cred- Managed 10cr for a firm, worked in micro VC, Nism 8. Going for nism 15 and then Sebi RA.

Hi everyone,

I'm the developer behind OptScalp (https://optscalp.com), a desktop options trading platform I've been building for Indian traders.

I've recently released a major upgrade with a completely redesigned interface, improved market-data experience, and three different ways to trade options.

Sharing it here for anyone who might find it useful. Mods, please feel free to remove this if it violates the community's self-promotion rules.

The problem

If you actively trade NIFTY, BANKNIFTY or SENSEX options, you'll probably relate to some of these challenges:

• Switching between charts, option chains and order-entry windows.
• Placing or adjusting multiple option legs quickly.
• Managing stop-losses, targets and open positions across trades.
• Monitoring positions and overall MTM while making trading decisions.
• Working around limitations of broker-provided trading interfaces.

I wanted a desktop application that brings these workflows together without forcing traders into one particular way of trading.

What OptScalp does

OptScalp is a desktop-based trading platform that connects to supported brokers and provides three different trading interfaces.

1. Quick Order

A dedicated order-entry workspace for traders who prefer fast, straightforward execution.

• Trade CE/PE options using ATM, ITM and OTM strike selection.
• Configure quantities, order types and automatic stop-loss controls.
• Create straddles, strangles and hedge positions.
• Monitor and manage positions from the same workspace.

2. Option Chain Trading (Scalper)

For traders who prefer making decisions directly from the option chain.

• View option prices, open interest (OI) and implied volatility (IV).
• Switch between indices and expiries.
• Place Buy/Sell orders directly against individual strikes.
• Quickly navigate strikes around ATM.

3. Chart Trading

This is one of the major additions in the latest release.

• View option price charts within OptScalp.
• Work with multiple charts in the same workspace.
• Place trades directly from chart controls.
• Manage stop-loss and target levels visually.

The idea is simple: choose how you want to trade without switching between multiple applications.

Position & Risk Management

Beyond order entry, OptScalp includes:

• Stop-loss, target and trailing stop-loss controls.
• Position monitoring with MTM/P&L.
• Partial exits and position management.
• Portfolio/session-level risk controls.
• Support for multi-leg option positions.

These are execution and risk-management tools, not trading signals or automated profit-generating strategies.

Broker Integrations

OptScalp supports integrations with brokers and APIs including:

Zerodha, Flattrade, Shoonya (Finvasia), RMoney, AC Agarwal and XTS-based APIs.

Supported features may vary depending on the broker and its API capabilities.

Try It Without Placing Live Orders

OptScalp also includes a Simulation Mode, allowing users to explore the trading interface and experiment with order workflows without sending live orders.

This is particularly useful if you want to understand the application before using it with real capital.

Pricing & Availability

OptScalp is available through its official website, where you can find the current plans, installation instructions and product details.

Website: https://optscalp.com/

Please review the applicable subscription terms before purchasing. Paid subscriptions are non-refundable.

Looking for Feedback

I'm continuing to improve OptScalp, particularly around chart trading, option-chain workflows, execution efficiency and position management.

I'd genuinely appreciate feedback from active options traders.

If you could improve one thing about your current broker terminal or options trading workflow, what would it be?

Happy to answer questions about the platform, broker integrations or supported features.

Disclosure: I'm the developer of OptScalp. OptScalp is a software platform for trade execution and management, not an investment advisory or trading-signal service. Trading in derivatives involves substantial financial risk. Users are responsible for their own trading decisions and compliance with applicable broker and exchange requirements.

Overall gist is when u run non correlated strategies across segments and instruments with sound logic. It reduces the dd and smooth equity curve as each of the system performs in its own cycle and together you have portfolio designed for majority of the simulations and cycles