The biggest advantage of algo trading might not be the algorithm. It might be removing yourself from the trade.

I’ve been thinking about this a lot lately.
When I was trading manually, I noticed something frustrating:
Strategy says ENTER → I hesitate because the previous trade lost.
Trade goes in profit → I exit early because “what if it reverses?”
Stop loss gets hit → I immediately want to recover the loss.
Two losing trades happen → I start changing the rules.
A good setup comes → I skip it because I don’t “feel” confident.
Then the setup works perfectly without me. 😅
The funny part is that the strategy wasn’t necessarily the problem.
I was.
That’s what made me start testing systematic execution instead of manually interfering with every trade.
I’ve been running one of my setups through an automated platform recently, and the current results are interesting:
81 closed trades
42 winners / 39 losers
51.85% win rate
₹51,377 total P&L
Duration 1 month and 10 days so far. Backtest has shown great results as well since 2015.
What I actually like about these numbers isn’t the P&L.
It’s the fact that the system took the trades whether I felt confident or not.
A 51–52% win rate doesn’t look particularly exciting on Instagram, but if the underlying risk/reward and execution are good, you don’t need an 80% win rate.
That’s something I think many people misunderstand about algo trading.
Automation doesn’t magically turn a bad strategy into a profitable one.
It simply makes it much harder for you to sabotage a potentially good one.
I’m still testing and validating the setup, so I’m not claiming this is some “holy grail.” 81 trades is nowhere near enough to prove that.
But psychologically, the difference between:
“Should I take this trade?”
and
“The system says this is the trade, so take it.”
…is surprisingly huge.
Curious how others here handle this.
Do you find manual execution / trading psychology to be a bigger problem than the strategy itself?
I’m also running these setups through a platform that lets me configure the rules without coding, which has made testing different ideas considerably easier. I didn’t expect that part to make such a difference.

Note: I used ChatGPT to prepare my thoughts so avoid criticising over ChatGPT content, I would rather appreciate if you focus on the content thought, I tried to express here.

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u/Calm_Comparison_713 — 6 days ago
▲ 17 r/NSEBetsIndia+1 crossposts

This happens when you are consistent

Strategy which i made was giving some losses some profits but when patiently when you are consistent it rewards you.

Today's trade

https://preview.redd.it/u090yx7s5xih1.png?width=1809&format=png&auto=webp&s=42c65b5b2e91499a0b013936bdbbe8597a067fd2

and i customized it and running it from 7th July here are the stats

https://preview.redd.it/b5o5lhvw5xih1.png?width=665&format=png&auto=webp&s=4a9ebff097425153c13ca3d5f26e67fbb9187ad1

Big lesson for me be consistent every successful strategy have drawdowns

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u/Calm_Comparison_713 — 9 days ago

Are you willing to learn how algo trading works?

Hey Friends,
I have good IT experience and trading too. I am algo trader too. Are you willing to learn algo trading from scratch? If yes please leave your response based on your responses I will decide whether to create free YouTube videos on that or not.
Thank you

View Poll

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u/Calm_Comparison_713 — 11 days ago

Instead of asking users to choose a trading strategy, I built an AI consultant. Good idea or bad?

One of the most common questions I received was:

"Which strategy should I choose?"

So instead of showing a list of strategies, I built a short AI consultation that asks about trading experience, capital, goals, risk tolerance, and trading style before recommending suitable strategies.

Would you find this genuinely useful, or would you still prefer browsing strategies yourself?

I'm looking for honest feedback before I continue improving it.

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u/Calm_Comparison_713 — 17 days ago

Missed the trade, feeling bad.

https://preview.redd.it/tx73rhgktbhh1.png?width=2628&format=png&auto=webp&s=24db5c599f57642ad62b4e0646f05fd49727ebc0

I missed the trade today due to short of fund by 1k only and it gave 17k on 3 lot of nifty as I initiated another trade in my algo trade account feeling really bad now. A big lesson learned, never touch your algo trading account and keep sufficient balance for drawdown too, because you never know when there is a big day like this. I have been waiting for such moves, and this algo capture these trending move.

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u/Calm_Comparison_713 — 17 days ago
▲ 4 r/NSEBetsIndia+1 crossposts

Your first three months of algo trading tell you almost nothing

Every strategy I've backtested has negative months. Not one is clean. The good ones aren't the ones that never lose — they're the ones where the losing months are small and the recovery is boring.

The problem is that when you go live, you enter at a random point in that sequence. If your first month happens to be one of the red ones, you'll conclude the strategy is broken. It isn't. You just don't have enough samples to know anything yet.

Which means the capital you set aside can't just be what you need to take the trades. You need a separate buffer for the drawdown itself, sized before you start, because the moment you're forced to stop trading to protect capital is the moment the whole thing falls apart. In my experience the recovery months don't just claw back what you lost — they tend to overshoot. But you only collect that if you were still in the seat when it happened.

The other half of it: your stop has to be smaller than what you're targeting. That sounds obvious written down, and almost nobody actually checks it. If your loss cap and your target are roughly the same size, you need a win rate above 50% just to break even, and most strategies don't have that. Get that ratio right and you can be wrong most of the time and still come out ahead.

I don't have a good answer for how long you should give something before calling it. A quarter feels too short. A year feels like a lot of money to spend finding out.

How long do you all run something before you kill it?

Disclosure: I run AlgoFruit (algo trading infra). Not selling anything, no advice.

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u/Calm_Comparison_713 — 24 days ago
▲ 9 r/NSEBetsIndia+1 crossposts

Nifty BTST Algo with 67% win rate

Hello Guys,

I hope you are doing great, I have developed a Nifty BTST algo whose backtest result is given below, now the problem I see is the morning volatility when I will sell the option which I bought yesterday. So which strike do you recommend deep ITM, ITM, or i should go with ATM? or just try with Futures.

Here is backtest result:

Total number of trades: 786

Total profitable trades: 527 67.05 %

Total loss-making trades: 259 32.95 %

Max winning streak is 14 from 2020-09-25 to 2020-10-29 | Points: 875.45

Max losing streak: 5 from 2025-07-31 to 2025-08-13 | Points: -146.65

Max DrawDown (Peak-to-Trough): -1837.01 (-638.07%)

Total profit: 19913.59 (In nifty points)

Yearly Gain/Loss Summary:

Year Gain/Loss

------------------------------

2020 2650.82

2021 3417.24

2022 2398.33

2023 2685.50

2024 3042.00

2025 3302.25

2026 (till 14th July) 2417.45

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u/Calm_Comparison_713 — 1 month ago
▲ 3 r/NSEBetsIndia+1 crossposts

For folks confused about "market regime" — here's a simple way to check it before market open

Been reading this sub for a while, figured I'd share something that's actually changed how I approach my mornings.

A lot of the losses I used to take weren't from bad strike selection — they were from using a trending-day strategy on a sideways day, or vice versa. Once I started checking the "regime" of Nifty/BankNifty/Sensex before doing anything, that mistake dropped a lot.

For anyone newer to this — "market regime" is just whether the index is currently trending (strong/weak) or ranging (sideways). Trending and ranging days need different approaches, and a lot of the "why did that setup fail today" moments come down to not checking this first.

What I look at every morning:

  • Regime tag — Strong / Weak / Sideways for each index
  • Day intent — Bullish / Bearish / None, based on the opening range
  • AI win-probability split — rough sell-vs-buy odds with suggested ATM strikes, plus a confidence score and the main risk flag (e.g. "high volatility could cause rapid moves")

Attaching a screenshot of the dashboard I personally use for this (AlgoFruit) — sharing it because I think the habit of doing a regime check before market open is underrated, not to push the tool itself. It's free to just look at.

Curious how others here handle this — do you check regime/bias before every session, or mostly read price action live? What's your process look like?

u/Calm_Comparison_713 — 1 month ago
▲ 22 r/NSEBetsIndia+1 crossposts

Were you able to capture the fall today?

Were you able to capture the fall today? My algos on which i am working since 2 years are working great these days. See how it captured the full momentum.

Eagle Nifty V1.1 - 1 Lot of Nifty -> +17k

FnORush - 1 Lot sensex -> +12k

u/Calm_Comparison_713 — 1 month ago

Momentum Strategy using Kite API

I created a momentum strategy using kite api which gives decent points but books only half of the max peak points, reason is if I keep pull back points less it easily hit trailing SL. How do you overcome this behaviour any suggestions?
Today it took 2 paper trades with 10 lots

u/Calm_Comparison_713 — 2 months ago