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Est. 2019 · NSE Registered · Proprietary Firm

Algorithmic Precision.
Indian Market Mastery.

AlgoPine Traders LLP is a boutique proprietary trading firm deploying systematic, algorithm-driven strategies across Indian equity, derivatives, and commodity markets. 14 handpicked professionals. ₹45+ crore in strategy capital. Zero compromise on standards.

₹45Cr+
Assets under strategy
14
Handpicked professionals
3+
Market segments
NSE
Primary exchange
5+
Years live trading
24%+
Avg annual returns
Our hiring philosophy

We don't hire to fill desks.
We hire to raise the bar.

AlgoPine has 14 members — and that number is deliberate. We are not constrained by budget, space, or ambition. We are constrained by our own standard.

In trading, team size is not an advantage. Signal quality is. One disciplined trader with a genuine edge generates more value than ten average ones. We built this firm on that truth from the very first day.

We open positions rarely — and when we do, we search specifically for people who don't just meet a job description but who raise the standard of everyone around them.

"A small team of exceptional people will always outperform a large team of average ones — especially in markets where precision and conviction matter more than headcount."

— Managing Partner, AlgoPine Traders LLP

Our current strength of 14 is not a starting point we're trying to grow beyond. It is a reflection of how many truly exceptional people we have found so far. Every opening is because we found a gap that only the right person can fill.

We currently have limited openings for algorithmic traders. These seats are rare. If you hold yourself to the same standard we do — we want to hear from you.

01

Quality over headcount — without exception

A lean team means direct mentorship, absolute P&L accountability, and zero passengers on any desk. Everyone contributes — or they are not here.

02

There are no spectators at AlgoPine

Every person is actively in the game — executing, researching, building, or leading. There are no bench roles, no administrative padding.

03

Selective intake creates an elite culture

When you join AlgoPine, you join people who have already cleared a high bar. That sets the room's standard from day one.

04

Small team. Real capital. Full accountability.

14 people managing ₹45 crore means every member carries genuine responsibility — and genuine upside. No hiding, no ceiling.

05

We scale capital — not bureaucracy

When we grow our edge, we deploy more capital per strategy. We do not grow by adding redundant roles that dilute focus and culture.

What we trade

Indian Markets — All Segments

We deploy capital across every major segment of Indian financial markets with systematic strategies built on years of live market data and continuous refinement.

Equity Derivatives

NSE F&O — Nifty, BankNifty, FinNifty index options and stock futures with systematic BOS/CHoCH entry and exit logic.

Cash Equities

Intraday and positional trades in NSE-listed equities using market structure, VWAP confluence, and momentum strategies.

Commodities

MCX-listed metals, energy, and agri — gold, silver, crude oil, natural gas. Trend-following and mean-reversion systems.

Currency Futures

USD-INR and cross-currency pairs on NSE with trend-following and carry-based systematic strategies.

Algo Systems

Proprietary algorithmic engines with real-time feeds, automated execution, risk controls, and live dashboards — all built in-house.

Who we are

A boutique prop firm built on discipline and data

AlgoPine Traders LLP was founded with a singular vision — to bring institutional-grade algorithmic trading to the Indian markets. We combine the agility of a boutique firm with the rigor of systematic quantitative research.

Our team of 14 professionals — 6 senior officials and 8 active traders — collectively manage over ₹45 crore across multiple market segments. Every strategy we run is rules-based, backtested, and continuously monitored through our proprietary infrastructure.

"We don't trade on opinion. We trade on structure, probability, and systematic edge — backed by live market data and years of refinement."

Our edge lies at the intersection of deep market microstructure knowledge and robust algo infrastructure. From Nifty50 intraday engines to positional commodity systems, every strategy is designed to deliver consistent, risk-adjusted returns — year after year.

Leadership & Management
RS
Rajesh Sharma
Managing Partner
Senior Official
PK
Priya Krishnan
Head of Derivatives
Senior Official
AM
Arjun Mehta
Chief Risk Officer
Senior Official
SN
Sunita Nair
Quant Research Lead
Senior Official
VR
Vikram Rao
Technology Head
Senior Official
DG
Deepa Gupta
Compliance Officer
Senior Official
KP
Karan Patel
Equity Trader
Trader
MV
Meera Varma
Derivatives Trader
Trader

+ 6 more active traders across desks

Track record

Consistent Performance Across Market Cycles

Our strategies are designed for capital preservation first, returns second. Risk-adjusted performance that compounds over time.

24.3%
Average annual returns
1.8
Sharpe ratio (3yr avg)
-8.2%
Max drawdown (controlled)
67%
Win rate across strategies
₹45Cr
Combined capital deployed

Past performance is indicative. Trading involves significant risk. Capital is at risk.

Why AlgoPine exists

Built differently. Every decision justified.

From our team structure to our trading philosophy, every choice we've made as a firm has a reason. Here it is — openly stated.

Why systematic over discretionary

Indian markets are emotionally driven. Retail panic, institutional swings, and event-triggered volatility create repeatable, exploitable patterns. We remove human bias entirely — data and rules make every decision. Consistency compounds. Emotion destroys.

Why proprietary over fund management

As a prop firm, every rupee at risk is our own. That alignment of incentives is irreplaceable. We're not chasing AUM growth targets or managing client expectations. Our only metric is real, risk-adjusted, compounding returns.

Why India-only markets

NSE F&O volumes are among the highest in the world. MCX offers deep commodity liquidity. Mid-cap equity price discovery is structurally inefficient. These are unique microstructures our strategies are purpose-built for. Generalist global traders miss these edges entirely.

Why we refuse to over-hire

Communication overhead, P&L dilution, and strategy conflicts all increase with team size. At 14 members, every voice is heard, every trader accountable, capital allocation stays precise, and culture stays intact. Growth for its own sake is not our objective.

₹45 crore. 14 people. Zero dead weight.

Our capital-per-person ratio is not a gap waiting to be filled — it is a statement of operational efficiency. Every single member contributes meaningfully to P&L, research, strategy, or the infrastructure that keeps it all running.

₹3.2Cr
Capital per member
100%
Active contributors
Zero
Redundant roles
Life at AlgoPine

A culture of excellence and ownership

We believe the best traders are made in environments that reward curiosity, discipline, and long-term thinking. Here is what makes AlgoPine different.

Research-first mindset

Every strategy begins at the research desk. Traders are encouraged to back-test ideas, challenge assumptions, and contribute to the strategy pipeline.

Discipline over ego

We operate on rule-based systems. No gut trades, no revenge trading. Risk controls are sacred — every team member enforces them equally, from the newest trader to the Managing Partner.

Collaborative desks

Open, collaborative environment. Senior officials actively mentor traders with weekly debriefs, morning briefings, and quarterly strategy reviews.

Performance ownership

Traders own their P&L, their strategies, and their growth. We give you capital, infrastructure, and trust — you bring the edge.

Focused hours

Market hours are intense — but disciplined. Results matter, not face time. Post-market analysis wraps by 5:30 PM. No unnecessary overtime culture.

Continuous learning

Weekly strategy reviews, market post-mortems, and access to premium research tools and data feeds to keep every trader's edge sharp and current.

Benefits & perks

What you get at AlgoPine

We invest in our people because our people are our edge. Competitive compensation and benefits that reflect the value each member brings.

Profit sharing

Performance-linked P&L share on strategies you manage. Your alpha, your upside.

Funded trading capital

Trade with firm capital from day one. No personal capital at risk.

Health insurance

Comprehensive medical cover for you and your dependents.

Premium workstation

Multi-monitor setup, fast execution infra, Bloomberg/data feed access.

Learning budget

Annual budget for courses, certifications, and premium data subscriptions.

Quarterly bonuses

Desk performance bonuses reviewed and paid every quarter — not annually.

Team offsites

Annual strategy retreats and team bonding trips funded by the firm.

Clear growth path

Trader → Senior Trader → Desk Lead → Partner. Defined track, no opacity.

Roles & responsibilities

How our desks work

Clarity of role and responsibility is at the core of our operations. Every person knows exactly what they own.

Senior Official — Desk Head / Partner

Leadership tier · 6 positions

Senior officials oversee one or more trading desks and are accountable for P&L, risk limits, and team development. They set the strategic direction for their segment and liaise with compliance, technology, and research functions.

  • Define and approve trading mandates and strategy parameters for the desk
  • Monitor aggregate portfolio risk and enforce drawdown limits firm-wide
  • Conduct weekly performance reviews with traders and provide active mentorship
  • Coordinate with quant research for strategy development and live deployment
  • Maintain regulatory compliance and report to the managing partner
  • Manage capital allocation and position sizing frameworks across segments

Trader — Equity & Derivatives Desk

Execution tier · 8 positions

Traders are the engine of AlgoPine. They operate within the firm's systematic framework to execute, monitor, and refine strategies. Independent thinking within structured risk parameters.

  • Execute live trades per strategy rules on NSE equity, F&O, and MCX segments
  • Monitor running positions, manage exits, and maintain detailed trade logs
  • Conduct post-market analysis and document observations for strategy refinement
  • Collaborate with the quant team to flag patterns and propose improvements
  • Maintain compliance with firm-level risk controls and position limits at all times
  • Participate in daily morning briefing and weekly desk review sessions

Technology & Infrastructure

Support function

Our tech team maintains the proprietary algo execution infrastructure, data pipelines, and monitoring dashboards that underpin all trading operations.

  • Maintain real-time market data feeds (NSE, MCX) and execution broker APIs
  • Deploy and monitor algorithmic strategy engines in cloud production environments
  • Build and maintain internal tools: dashboards, risk monitors, kill-switch systems
  • Ensure system uptime, low-latency execution, and failover protocols are robust
Our manifesto

We built AlgoPine on one belief —
the best traders don't need a crowd.

Since 2019, we have operated on the conviction that trading is a craft, not a job. It demands patience, rigor, emotional detachment, and a quiet obsession with getting better. These traits cannot be mass-recruited. They are rare — and we respect that rarity by staying small, staying sharp, and staying honest about who belongs here.

Precision over scale

We measure success by Sharpe ratio, risk-adjusted returns, and long-term compounding — never by the number of employees or size of our office. Bigger is not better. Better is better.

Accountability at every level

From the managing partner to the newest trader — everyone owns their numbers. No culture of blame, no hiding behind process, no ego over outcomes. Your P&L is your resume here.

The market is the only judge

No internal politics. No performance theater. The market speaks every day — and we build systems that earn their keep under that honest, unforgiving pressure.

This is a firm for serious people

We are not a startup finding its feet. We are a tightly run, algorithm-driven trading firm that takes Indian markets seriously. If that sounds like the environment you've been searching for — we are listening.

"We didn't build AlgoPine to be the biggest prop firm in India.
We built it to be the sharpest one — and to keep it that way."

Actively hiring — limited seats

Join AlgoPine Traders LLP

We are looking for sharp, disciplined algorithmic traders who want to build an edge in Indian markets with serious infrastructure, funded capital, and a team that's obsessed with systematic excellence.

Algo Trader — Equity & Derivatives

Design, back-test, and live-deploy systematic strategies on NSE equity and F&O. Work closely with quant and tech teams in a high-ownership, low-bureaucracy environment.

Full time Hyderabad / Remote ₹8L – ₹20L + P&L share 2+ years preferred

Algo Trader — Commodity & Currency Desk

Manage systematic strategies on MCX commodities and NSE currency futures. Strong understanding of commodity market microstructure preferred.

Full time Hyderabad / Hybrid ₹6L – ₹16L + P&L share 1+ years preferred

Quant Researcher — Strategy Development

Research, develop, and validate new systematic trading strategies. Strong Python and statistical modelling background required. NSE/MCX data experience is a strong plus.

Full time Hyderabad ₹10L – ₹24L + bonus MTech / MSc preferred
Get in touch

Work with us or reach us

Whether you're applying for a position, exploring a partnership, or simply want to learn more about AlgoPine — we're open to a conversation with the right people.

careers@algopinetraders.in
+91 98765 43210
Hitech City, Hyderabad, Telangana — 500081
Mon – Fri, 8:30 AM – 6:00 PM IST
AlgoPine Traders LLP

SEBI Registered Proprietary Trader · NSE Member
GST: 36XXXXXX1234X1ZX · CIN: AAL-2019-TGLLP-XXXXX

Send us a message
'; // <-- paste your token here const NIFTY50_INSTRUMENTS = [ {key:'NSE_EQ|INE002A01018',d:'RELIANCE'}, {key:'NSE_EQ|INE467B01029',d:'TCS'}, {key:'NSE_EQ|INE040A01034',d:'HDFC BANK'}, {key:'NSE_EQ|INE009A01021',d:'INFOSYS'}, {key:'NSE_EQ|INE090A01021',d:'ICICI BANK'}, {key:'NSE_EQ|INE030A01027',d:'HUL'}, {key:'NSE_EQ|INE154A01025',d:'ITC'}, {key:'NSE_EQ|INE397D01024',d:'AIRTEL'}, {key:'NSE_EQ|INE237A01028',d:'KOTAK'}, {key:'NSE_EQ|INE018A01030',d:'L&T'}, {key:'NSE_EQ|INE062A01020',d:'SBI'}, {key:'NSE_EQ|INE238A01034',d:'AXIS BANK'}, {key:'NSE_EQ|INE296A01024',d:'BAJ FIN'}, {key:'NSE_EQ|INE075A01022',d:'WIPRO'}, {key:'NSE_EQ|INE860A01027',d:'HCL TECH'}, {key:'NSE_EQ|INE585B01010',d:'MARUTI'}, {key:'NSE_EQ|INE044A01036',d:'SUN PHARMA'}, {key:'NSE_EQ|INE280A01028',d:'TITAN'}, {key:'NSE_EQ|INE481G01011',d:'ULTRACEM'}, {key:'NSE_EQ|INE239N01024',d:'NESTLE'}, {key:'NSE_EQ|INE669C01036',d:'TECH M'}, {key:'NSE_EQ|INE752E01010',d:'POWERGRID'}, {key:'NSE_EQ|INE733E01010',d:'NTPC'}, {key:'NSE_EQ|INE213A01029',d:'ONGC'}, {key:'NSE_EQ|INE155A01022',d:'TATA MOTORS'},{key:'NSE_EQ|INE081A01012',d:'TATA STEEL'}, {key:'NSE_EQ|INE019A01038',d:'JSW STEEL'}, {key:'NSE_EQ|INE742F01042',d:'ADANI PORTS'}, {key:'NSE_EQ|INE918I01026',d:'BAJ FINSV'}, {key:'NSE_EQ|INE917I01010',d:'BAJAJ AUTO'}, {key:'NSE_EQ|INE158A01026',d:'HERO MOTO'}, {key:'NSE_EQ|INE066A01021',d:'EICHER'}, {key:'NSE_EQ|INE101A01026',d:'M&M'}, {key:'NSE_EQ|INE361B01024',d:"DIVI'S"}, {key:'NSE_EQ|INE089A01023',d:"DR REDDY'S"}, {key:'NSE_EQ|INE059A01026',d:'CIPLA'}, {key:'NSE_EQ|INE437A01024',d:'APOLLO HSP'}, {key:'NSE_EQ|INE423A01024',d:'ADANI ENT'}, {key:'NSE_EQ|INE522F01014',d:'COAL INDIA'}, {key:'NSE_EQ|INE038A01020',d:'HINDALCO'}, {key:'NSE_EQ|INE047A01021',d:'GRASIM'}, {key:'NSE_EQ|INE095A01012',d:'INDUSIN BK'}, {key:'NSE_EQ|INE123W01016',d:'SBI LIFE'}, {key:'NSE_EQ|INE795G01014',d:'HDFC LIFE'}, {key:'NSE_EQ|INE216A01030',d:'BRITANNIA'}, {key:'NSE_EQ|INE192A01025',d:'TATA CONS'}, {key:'NSE_EQ|INE029A01011',d:'BPCL'}, {key:'NSE_EQ|INE070A01015',d:'SHREE CEM'}, {key:'NSE_EQ|INE214T01019',d:'LTIM'}, {key:'NSE_EQ|INE628A01036',d:'UPL'}, ]; // Index instrument keys const INDEX_KEYS = { nifty: 'NSE_INDEX|Nifty 50', banknifty: 'NSE_INDEX|Nifty Bank', sensex: 'BSE_INDEX|SENSEX', }; function fmt(n) { return n == null || isNaN(n) ? '—' : n.toLocaleString('en-IN', { maximumFractionDigits: 2, minimumFractionDigits: 2 }); } function fmtC(n) { if (n == null || isNaN(n)) return '—'; return (n >= 0 ? '+' : '') + n.toFixed(2); } function dir(n) { return n >= 0 ? 'up' : 'down'; } function arr(n) { return n >= 0 ? '▲' : '▼'; } async function fetchUpstoxQuotes(instrumentKeys) { const keysParam = instrumentKeys.map(k => encodeURIComponent(k)).join(','); const url = `https://api.upstox.com/v2/market-quote/ltp?instrument_key=${keysParam}`; try { const res = await fetch(url, { headers: { 'Authorization': `Bearer ${UPSTOX_TOKEN}`, 'Accept': 'application/json' }, signal: AbortSignal.timeout(10000) }); if (!res.ok) { console.warn('Upstox API error', res.status); return null; } const json = await res.json(); return json.data || null; } catch(e) { console.warn('Upstox fetch failed', e); return null; } } function renderIndex(id, price, chg, pct) { const d = dir(chg); const pEl = document.getElementById(id+'Price'); const cEl = document.getElementById(id+'Change'); const pctEl = document.getElementById(id+'Pct'); if (!pEl) return; pEl.className = 'idx-price'; pEl.textContent = fmt(price); cEl.className = 'idx-change ' + d; cEl.innerHTML = `${arr(chg)} ${fmtC(chg)} pts`; pctEl.className = 'idx-pct ' + d; pctEl.textContent = fmtC(pct) + '%'; } function findInMap(dataMap, key) { // Upstox may return keys as "NSE_EQ:RELIANCE" or "NSE_EQ|RELIANCE" or "NSE_EQ_RELIANCE" return dataMap[key] || dataMap[key.replace('|',':')] || dataMap[key.replace('|','_')] || dataMap[key.replace(':','|')] || null; } function renderTicker(dataMap) { const track = document.getElementById('tickerTrack'); const items = NIFTY50_INSTRUMENTS.map(s => { const q = findInMap(dataMap, s.key); if (!q || !q.last_price) return `
${s.d}
`; const price = q.last_price; const prev = q.close_price || q.net_change != null ? (price - (q.net_change||0)) : price; const chg = q.net_change != null ? q.net_change : (price - prev); const pct = prev ? ((chg / prev) * 100) : 0; const d = dir(chg); return `
${s.d}₹${fmt(price)}${arr(chg)} ${fmtC(chg)} (${fmtC(pct)}%)
`; }).join(''); track.innerHTML = items + items; } function updateStatus() { const now = new Date(); const ist = new Date(now.getTime() + now.getTimezoneOffset() * 60000 + 5.5 * 3600000); const day = ist.getDay(), mins = ist.getHours() * 60 + ist.getMinutes(); const isOpen = day >= 1 && day <= 5 && mins >= 9 * 60 + 15 && mins < 15 * 60 + 30; const dot = document.getElementById('statusDot'); const txt = document.getElementById('mktTxt'); dot.style.background = isOpen ? '#16a34a' : '#94a3b8'; dot.style.animation = isOpen ? 'blink 1.8s infinite' : 'none'; txt.textContent = isOpen ? 'LIVE' : 'CLOSED'; txt.style.color = isOpen ? '' : '#94a3b8'; document.getElementById('lastUpdated').textContent = 'Updated ' + ist.toLocaleTimeString('en-IN', { hour: '2-digit', minute: '2-digit', hour12: true }) + ' IST'; } async function refresh() { updateStatus(); // All keys in one call: 3 indices + 50 stocks const allKeys = [ ...Object.values(INDEX_KEYS), ...NIFTY50_INSTRUMENTS.map(s => s.key) ]; const data = await fetchUpstoxQuotes(allKeys); if (!data) return; // Render indices Object.entries(INDEX_KEYS).forEach(([id, key]) => { const q = findInMap(data, key); if (!q || !q.last_price) return; const price = q.last_price; const chg = q.net_change != null ? q.net_change : (price - (q.close_price || price)); const prev = price - chg; const pct = prev ? ((chg / prev) * 100) : 0; renderIndex(id, price, chg, pct); }); renderTicker(data); } refresh(); setInterval(refresh, 60000);