Markets, AIF, PMS
and algo—explained.

Algo trading means software follows a written set of rules to decide when to send, modify or cancel an order. The rules can use price, time, volume or indicators. It is automation—not a guarantee of profit.

No. Investing usually focuses on building wealth over a longer period. Trading usually seeks shorter-term price opportunities. An algorithm can support either approach, but the objective, risk and holding period should be clear first.

Begin with goals, time horizon, emergency savings and the amount of loss you can tolerate. Use a regulated intermediary, understand the product and costs, diversify, start small and review statements. Do not act on a website FAQ as personal advice.

First learn market orders, limit orders, stop-losses, costs and slippage. Write one simple strategy, test it on historical and unseen data, paper-trade it, set hard risk limits and only then consider small live exposure through a compatible broker.

There is no universal minimum. It depends on the instrument, broker rules, lot size, margin and strategy risk. The right question is whether the capital can support sensible position sizing after all costs—without using money needed for essential expenses.

Not always. Some approved platforms offer rule builders. But you still need to understand the strategy, data, costs, risk controls and what happens when technology fails. A no-code screen does not remove financial risk.

It is a complete set of rules covering what to trade, when to enter, position size, when to exit, maximum loss and when not to trade. An indicator alone is not a complete strategy.

Backtesting applies strategy rules to historical data to see how they would have behaved. It is a research tool, not proof of future returns.

Paper trading simulates orders without risking real money. It helps test workflow and discipline, but may not reproduce live fills, slippage, rejected orders or emotional pressure.

The broker provides the regulated account and exchange connection through which orders are placed. The broker also applies permitted risk and compliance checks, reports order status and provides records such as contract notes.

A normal retail investor places exchange orders through a SEBI-registered stock broker. An app, strategy vendor or API tool is not a substitute for that broker relationship.

No. A provider may supply strategy or technology; a broker supplies the trading account and exchange route. Check the current status of every party independently and understand who is responsible for support, data, orders and complaints.

SPADILLE presents an institutional-style framework for strategy research, risk planning, analytics, market education and controlled workflow design. Any broker integration or live execution must be separately authorised, technically integrated and compliant.

Not automatically. Brokers can differ in API format, symbols, order types, rate limits, authentication, margins and error messages. A strategy must be tested for the specific broker connection before use.

An API is a controlled way for software to request data or send instructions to another system—for example, asking a broker for positions or submitting an order. It is a connection, not a trading strategy.

An API key identifies software accessing an account. Treat keys, tokens, passwords, PINs and OTPs as secrets. Never paste them into a public form, chat or screenshot. Revoke and replace a key immediately if it is exposed.

REST usually asks for a snapshot when needed. A WebSocket keeps a connection open so updates can arrive continuously. Streaming is useful for live systems, but it still needs reconnection, stale-data and rate-limit controls.

No. The software must still contain an enabled order workflow, valid permissions and risk checks. SPADILLE’s public website does not request broker credentials or place orders.

Orders may be delayed, rejected or left in an unexpected state. A serious system needs visible connection status, reconciliation with the broker, retry limits, alerts and a safe manual stop procedure.

No. Every strategy can lose. Markets change, costs rise, liquidity disappears and historical patterns can stop working. Claims of guaranteed or unusually consistent returns are a warning sign.

No. Many useful algorithms are simple rules such as moving averages, breakouts or scheduled rebalancing. Calling a product “AI” does not make it accurate, safe or compliant.

No. Speed matters only for strategies that genuinely depend on it. A bad decision made faster is still a bad decision. Data quality, risk limits, execution quality and discipline often matter more.

No. A stop-loss is a risk instruction, not a price guarantee. In fast or gapping markets, the actual fill can be worse than the trigger level.

No. A backtest can look excellent because rules were fitted to the past, costs were omitted or future information leaked into the test. Unseen-data and live monitoring are essential.

No. Automation still needs monitoring, data checks, broker reconciliation, software updates and risk review. Unattended systems can repeat an error very quickly.

Market loss, overfitting, bad data, unexpected costs, insufficient liquidity, software defects, connection failure, rejected orders, excessive leverage and unauthorised account access.

At minimum: maximum loss per trade and day, maximum position and exposure, permitted instruments and hours, order-frequency limits, stale-data protection and a kill switch. Limits should be set before trading starts.

Position sizing decides how many units to trade based on account capital, planned entry, stop level and acceptable loss. It prevents one idea from taking an uncontrolled share of the portfolio.

Include brokerage and applicable exchange charges, taxes and duties, bid–ask spread, slippage, data or platform charges and financing or margin costs where relevant. Small costs can materially change a high-turnover strategy.

Be cautious of guaranteed returns, pressure to act immediately, unverified apps or links, demands to transfer money to personal accounts, requests for OTPs or passwords, and claims that losses are impossible. Verify the intermediary independently.

No. They may be delayed, indicative, cached or temporarily unavailable. Always check the source, market status and last-update time. Use broker or exchange-authorised data for trading decisions.

SPADILLE’s public website does not hold client funds, ask for broker credentials or place live orders. Its public calculators, market references and strategy tools are educational and research-oriented.

Yes. SEBI issued a framework for safer retail participation in algorithmic trading, with implementation through exchanges and brokers. Requirements and timelines can change, so confirm the latest process with your broker and the relevant exchange before going live.

It means the provider appears in the relevant exchange process or list for the stated purpose. It is not a promise of returns. Verify the latest exchange list and the provider’s exact scope before relying on the claim.

Personalised recommendations should come from a properly registered professional acting within the permitted scope. General education, a calculator or a backtest is not the same as advice suited to your finances.

First use the intermediary’s official grievance channel and keep records. If unresolved, use the applicable exchange or SEBI grievance process, including SCORES where relevant. Never send account secrets while seeking support.

Confirm the instrument, quantity, order type, maximum loss, market status, data freshness, broker connection and emergency stop. Recheck that paper and live settings are not being confused.

An AIF is a privately pooled investment vehicle that raises capital from eligible investors under a defined investment policy. Depending on its category and mandate, it may invest in venture capital, private equity, credit, infrastructure, special situations, public markets or complex trading strategies.

Category I generally includes strategies considered economically or socially desirable, such as venture capital and infrastructure. Category II commonly includes private equity, private credit and similar funds that do not ordinarily use leverage except for permitted operational needs. Category III may use more complex or market-oriented strategies and may employ leverage within applicable limits.

AIFs are intended for sophisticated investors who can evaluate higher complexity, longer holding periods, limited liquidity and the possibility of substantial loss. Eligibility, suitability and the ability to meet capital calls should be assessed before committing.

The general regulatory minimum is ₹1 crore per investor, subject to specific exceptions and any higher minimum stated by the fund. Investors should rely on the current placement memorandum and applicable rules at the time of investment.

Not necessarily. Many AIFs are close-ended and may have multi-year tenures, capital-call schedules, lock-ins or restricted transfer and redemption rights. Liquidity terms must be reviewed before investment; an AIF should not be treated like a bank deposit or an open-ended mutual fund.

Review the manager’s experience, investment team, strategy, portfolio construction, valuation policy, conflicts, leverage, fees, expenses, liquidity, exit process, reporting, service providers and downside history. Read the complete offering and legal documents, not only a presentation.

PMS is a professionally managed investment arrangement based on an agreed mandate. Unlike a pooled mutual fund, securities are generally held for the client through the prescribed account and custody structure, enabling portfolio-level reporting and a mandate tailored to the service terms.

In discretionary PMS, the portfolio manager makes investment decisions within the agreed mandate. In non-discretionary PMS, the manager recommends actions but executes them with the client’s consent. Advisory services provide advice while the client retains execution responsibility.

The current regulatory minimum is ₹50 lakh, although an individual provider or strategy may require more. A higher minimum does not make a strategy suitable; objectives, risk capacity, liquidity needs and costs still require careful assessment.

Review management and performance fees, hurdle and high-water-mark terms, brokerage, custody, fund-accounting charges, taxes, transaction costs and exit terms. Ask for a worked illustration showing the effect of all charges under different return scenarios.

The portfolio is generally maintained for the client through the prescribed demat, bank and custody arrangements, subject to the service agreement. Confirm account ownership, authority, custody, voting, corporate-action and withdrawal processes in the final documents.

PMS is generally a separately managed portfolio under an individual mandate, while an AIF pools commitments from multiple investors into a fund or scheme. They differ in ownership structure, strategy flexibility, liquidity, documentation, reporting, fees and minimum investment.

SPADILLE combines institutional research discipline, algorithmic intelligence and risk-first governance. The engagement is designed around mandate clarity, evidence-led product and manager evaluation, transparent costs, documented suitability and structured portfolio oversight.

SPADILLE provides opportunity assessment, strategy and manager due diligence, suitability-led solution design, onboarding coordination, risk review and reporting support. The exact contracting entity, service scope and responsibilities are defined in the engagement documents.

Structured analytics can improve consistency when comparing strategies, exposures, drawdowns, liquidity, concentration and performance behaviour. It supports professional judgement and monitoring; it does not replace due diligence or remove investment risk.

No. A professional process begins with objectives, investment horizon, liquidity needs, risk capacity, existing exposures and applicable eligibility. AIF or PMS should be considered only when the proposed mandate is appropriate for the investor.

No. Neither professional management nor analytical technology can guarantee returns. Capital can decline, liquidity can tighten and past performance may not recur. Any representation of assured or risk-free market returns should be treated with caution.