# Table of Contents

- [Welcome | atm.day docs](#welcome-atm-day-docs)
- [Algo Core | atm.day docs](#algo-core-atm-day-docs)
- [Smart Wallets database | atm.day docs](#smart-wallets-database-atm-day-docs)
- [Trending Token Scan | atm.day docs](#trending-token-scan-atm-day-docs)
- [OG Algo Beta | atm.day docs](#og-algo-beta-atm-day-docs)
- [PumpFun Algo | atm.day docs](#pumpfun-algo-atm-day-docs)
- [LaunchLab Algo | atm.day docs](#launchlab-algo-atm-day-docs)
- [OG Algo | atm.day docs](#og-algo-atm-day-docs)
- [Stream Scalping Algo | atm.day docs](#stream-scalping-algo-atm-day-docs)
- [Four.meme Algo (first BNB) | atm.day docs](#four-meme-algo-first-bnb-atm-day-docs)
- [Trading psychology basics | atm.day docs](#trading-psychology-basics-atm-day-docs)
- [Volume checker | atm.day docs](#volume-checker-atm-day-docs)
- [Trade-on-paper Guide | atm.day docs](#trade-on-paper-guide-atm-day-docs)
- [Formulating trading strategy | atm.day docs](#formulating-trading-strategy-atm-day-docs)
- [DYOR | atm.day docs](#dyor-atm-day-docs)
- [Degen Toolkit to use with ATM | atm.day docs](#degen-toolkit-to-use-with-atm-atm-day-docs)

---

# Welcome | atm.day docs

**Welcome to atm.day — ML-powered algorithms to discover alpha & analyze runners**

ATM helps you discover tokens based on 20k+ profitable wallets’ activity, advanced holders analytics, volume analysis and 30+ other metrics.

### 

[](https://gitbook.atm.day/#five-algorithms-are-live)

Five algorithms are live

[](https://gitbook.atm.day/algorithms/og-algo)

![Cover](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252F5jdmW1XfP3Sb4Rktr7gb%252Fgg.png%3Falt%3Dmedia%26token%3D365c736c-f04c-4c22-aefa-0a3bf0803ff3&width=752&dpr=4&quality=100&sign=ed57188&sv=2)

**OG Algo**

Our first algorithm that discovers mid-cap tokens

*   **72** **tokens** per day
    
*   **$100K to $2M** MC with
    
*   **80%+** winrate
    

[](https://gitbook.atm.day/algorithms/pumpfun-algo)

![Cover](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FwwpmfwUlxEQP1IdE0oXR%252FFrame%25202087331143.png%3Falt%3Dmedia%26token%3D86aae1a4-432b-4a2e-a0d0-a83683ac0cfb&width=752&dpr=4&quality=100&sign=9edd9f0e&sv=2)

**Pumpfun Algo**

Discovers tokens before they migrate to PumpSwap

*   **≈120 tokens** per day
    

*   **60%+** avg grad rate
    

*   **~$22K** avg mc
    

[](https://gitbook.atm.day/algorithms/launchlab-algo)

![Cover](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FyKdsMn6YXNKCCRo9Y8p6%252FFrame%25202087331142.png%3Falt%3Dmedia%26token%3D8380ec4a-b3c2-47b0-8afe-ede7975a8879&width=752&dpr=4&quality=100&sign=bd4cc3a&sv=2)

**BonkFun&LaunchLab Algo**

Similar to Pumpfun Algo, but for LaunchLab tokens

*   **≈50-70 tokens** per day
    

*   **45%+** avg grad rate
    
*   **$17k** avg mc
    

[](https://gitbook.atm.day/algorithms/og-algo/og-algo-beta)

![Cover](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FPjezFvYnF1cscgCQ972Q%252FFrame%25202087331143.png%3Falt%3Dmedia%26token%3D836979f8-a65b-4e8b-baba-d1a05bcedbd1&width=752&dpr=4&quality=100&sign=a9be6603&sv=2)

**OG Algo 2.0 (early beta)**

Our latest (and so far the most beloved by users algo)

*   **≈100 tokens** per day
    

*   **50%+ discoveries hit 2x** without dipping below lower than 50% first
    

[](https://gitbook.atm.day/algorithms/stream-scalping-algo)

![Cover](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FJ4MBD8dXeL9dsqAEUjaI%252Fffff.png%3Falt%3Dmedia%26token%3D80034fbb-fe2a-4776-bd5e-cbc5f5d93470&width=752&dpr=4&quality=100&sign=5cc433be&sv=2)

**Stream Scalping Algo**

Scalp 30%+ once a Pumpfun Stream starts

*   **30 tokens** per day
    
*   most tokens hit **10%+**
    
*   **37% median ROI in 1h** after discovery
    

![Cover](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252Fj5brBS4XanTc5DL0W8XM%252Fphoto_2025-10-25%252017.34.04.jpeg%3Falt%3Dmedia%26token%3Df6b462c8-fbbd-493e-956b-aa6bcf8c6ce1&width=752&dpr=4&quality=100&sign=b376cecb&sv=2)

**Four.meme Algo**

Spots tokens before they graduate to PancakeSwap

*   **44%+** avg grad rate
    

*   **187%** avg ROI
    

*   **$33k** avg mc
    

[NextAlgo Core](https://gitbook.atm.day/algo-core)

Last updated 1 day ago

---

# Algo Core | atm.day docs

### 

[](https://gitbook.atm.day/algo-core#all-algorithms-are-built-on-the-following-indicators)

All algorithms are built on the following indicators:

1

### 

[](https://gitbook.atm.day/algo-core#profitable-wallets-activity)

**Profitable Wallets Activity**

Our core indicator — the trigger behind a token appearing in the trending feed. We're gathering wallets with ≈2h+ avg holding time, ≈$10k+ 3d realized PL and ≈60%+ winrate. We label wallets based on on-chain data we’ve collected and assign different “weights” to them.

The list and scoring parameters are continuously updated depending on market conditions and new data we gather.

2

### 

[](https://gitbook.atm.day/algo-core#volume-analytics)

Volume analytics

(Real vs Fake, currently in beta): We track volume spikes and estimate what % of the volume is real vs spoofed by trading bots.

3

### 

[](https://gitbook.atm.day/algo-core#holders-activity)

Holders Activity

We analyze holder dynamics — including holder quality (avg. holding time, past winning performance, etc.)

4

### 

[](https://gitbook.atm.day/algo-core#id-30-other-minor-indicators)

30+ other minor indicators

These include basic signals like DEX paid, dev activity in token, no-mint/no-freeze flags, and more.

All these indicators are dynamic — their weight and target values are regularly adjusted based on current market conditions and our own data about the winning tokens.

On average, we tweak the algorithms 1–2 times per week — either updating existing indicators or introducing new ones.

[PreviousWelcome](https://gitbook.atm.day/)
[NextSmart Wallets database](https://gitbook.atm.day/smart-wallets-database)

Last updated 5 months ago

---

# Smart Wallets database | atm.day docs

One of the core indicators in our algo is profitable wallets' behaviour. On the Degen tier we give you detailed analytics on those wallets.

**Smart-wallet trading-pattern analysis**

For every profitable wallet we track

*   average holding time
    
*   win rate
    
*   historical entry / exit levels
    
*   some other indicators
    

These metrics let you decide faster whether to take a trade or not, and fine-tune a strategy for each trade.

**Largest, constantly updated copy-trading wallet base**

Each wallet is carefully labeled and appears with every Algo discovery, so you can mirror the ones you trust in one click. It’s the biggest, deeply labeled, regularly updated Solana wallet database.

**Impact:** 70% of traders are 2x more profitable because of these features — based on user feedback and analysis of 200 + customer-shared wallets.

Information (always for past 7d)

How the data looks like

Why it's important

Winrate

49.8%

A trade counts as a “win” when the total SOL sold is greater than the total SOL bought

Median Trade Duration

5h

Shows the trader’s average holding time per token — useful for shaping your own exit strategy

Total trades

429

Lets you spot the wallet’s overall strategy — and confirms it isn’t running high-frequency trades

Distribution of past trades by ROI

**\>500% ROI:** 5 trades (7%) **200-500% ROI:** 12 trades (17%)

**0-200% ROI:** 48 trades (69%) **\-50% to 0% ROI:** 3 trades (4%) **< -50% ROI:** 2 trades (3%)

Historical exit data — shows the price levels where the wallet closed past positions, helping you plan your own token exit strategy.

Historically tied to

**200%+ (3x+):** 3 tokens **500%+ (6x+):** 1 token **1000%+ (11x+):** 1 token

Shows each token’s ROI measured from the wallet’s first trade — useful for gauging how early the trader spotted runners, though it doesn’t tell you how well they exited

[PreviousAlgo Core](https://gitbook.atm.day/algo-core)
[NextOG Algo](https://gitbook.atm.day/algorithms/og-algo)

Last updated 4 months ago

---

# Trending Token Scan | atm.day docs

Trending Token Scan is a live dashboard that displays tokens currently gaining momentum according to OG Algo.

It shows tokens that are gaining strong on-chain metrics before they appear as official trending tokens. Think of it as a “competition board” — tokens fighting to earn a trending spot.

Designed for users who want to catch tokens earlier and trade with higher risk/reward.

### 

[](https://gitbook.atm.day/algorithms/og-algo/trending-token-scan#use-cases)

Use Cases

*   **Early Entry:** Spot tokens even before they become trending tokens
    
*   **Market Pulse:** See what’s gaining traction right now
    
*   **Higher R/R:** Enter earlier in the move for better upside potential
    

### 

[](https://gitbook.atm.day/algorithms/og-algo/trending-token-scan#trending-token-scan-overview)

Trending Token Scan Overview

Metirc/Indicator

How it looks like

Why is this matter

PTMI Wallets

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252F256ArZVFGNyLF1oMZc9f%252FScreenshot%25202025-05-23%2520at%252017.22.27.png%3Falt%3Dmedia%26token%3D71d9d3df-2bba-4b36-b02a-723f771bd799&width=300&dpr=4&quality=100&sign=3db282a2&sv=2)

**Number of Professional Traders and Market Insiders in token** Main indicator, more wallets = more chances token becomes trending

FPE

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FmY7ncQzv3XMl4vJHj6MT%252FScreenshot%25202025-05-23%2520at%252017.25.25.png%3Falt%3Dmedia%26token%3D12f8abbd-1488-4890-8d56-86332f493cbf&width=300&dpr=4&quality=100&sign=18e538b9&sv=2)

**Future Pump Expectation** _Early beta test_ Depends on the professional traders' activity in token.

Avg PTMI Wallets entry

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FRnZxeGgZY8CUi8MqthIP%252FScreenshot%25202025-05-23%2520at%252017.25.56.png%3Falt%3Dmedia%26token%3D074a03fa-2da2-4454-b7d3-9f2c259b187e&width=300&dpr=4&quality=100&sign=d1cbdaf2&sv=2)

**The difference between the entry price of profitable wallets and the current price**

The smaller the gap, the closer you are to where smart wallets entered.

Liquidity Locked, Liquidity Burned

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FmJB5OoScYCGxQ9QEv8rz%252FScreenshot%25202025-05-23%2520at%252017.26.45.png%3Falt%3Dmedia%26token%3Dc44d295d-35d2-421b-a6b3-fb71f0b3333c&width=300&dpr=4&quality=100&sign=7cce5e86&sv=2)

**Locked** = stored in a smart contract and can’t be removed until a set time

**Burned** = Liquidity is sent to a dead address and can never be recovered

Both reduce rug risk, burned is safer

Token from PumpFun

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FqUKFOfVpBUOYB8xyCemz%252FScreenshot%25202025-05-23%2520at%252017.27.51.png%3Falt%3Dmedia%26token%3D2ec227ff-a97f-4ba0-bfa4-cdfbcf16b868&width=300&dpr=4&quality=100&sign=59c71e48&sv=2)

**Reduces rug risk:**

*   Fixed tokenomics
    

*   Fair launch
    

*   Liquidity auto-added and partially burned
    

*   No manual control over supply or LP
    

Not Mintable, Not Freezable (=no blacklist)

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252Fon2LAtm3ZV0xP5G7HwmL%252FScreenshot%25202025-05-23%2520at%252017.29.50.png%3Falt%3Dmedia%26token%3D593f1297-c2c9-484c-ba11-ce7d05b4cd7f&width=300&dpr=4&quality=100&sign=6741d0ad&sv=2)

Not mintable = no new tokens can be created (total supply is fixed). Not freezable (or blacklist) = the token owner cannot freeze or block other users’ tokens

Dexscreener Paid

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252Fwq0LfysoFUpf9RFzS9rl%252FScreenshot%25202025-05-23%2520at%252017.30.12.png%3Falt%3Dmedia%26token%3D70f54f54-8796-4eaf-9362-11b2da84f9c4&width=300&dpr=4&quality=100&sign=413d19d6&sv=2)

Whether Dexscreener is paid — shows how serious the dev might be

[PreviousOG Algo](https://gitbook.atm.day/algorithms/og-algo)
[NextOG Algo Beta](https://gitbook.atm.day/algorithms/og-algo/og-algo-beta)

Last updated 5 months ago

---

# OG Algo Beta | atm.day docs

Our latest — and so far most beloved — algorithm among users. While the original OG Algo triggers new calls every 20 minutes, OG Algo Beta is different: It’s event-based, not time-based.

The core trigger is reaching a specific number of profitable wallets buying a token. That number (X) dynamically adjusts based on current market conditions. This makes OG Beta faster when the market is active — and more selective when it’s not.

OG Algo Beta is available to all ATM Pro users with a 1-month or longer subscription

### 

[](https://gitbook.atm.day/algorithms/og-algo/og-algo-beta#core-sharacteristics)

Core Сharacteristics

Same as OG Algo:

*   **Focus:** Mid-cap tokens ($100K – $2M MC)
    
*   **Discovery timing:** After first strong on-chain traction, before mass awareness
    
*   **Key signal:** Professional Traders’ Activity — entry from historically profitable wallets
    
*   **Use case:** Best fit for consistent 2x setups and short-term plays
    

What's new:

*   **Number of tokens:** around 100 tokens a day (no more 20min timer)
    
*   **Winrate:** 50%+ tokens hit 2x without dipping below -50% first
    
*   **Catches runners earlier** and more often than the current OG Algo
    

### 

[](https://gitbook.atm.day/algorithms/og-algo/og-algo-beta#best-use-case)

Best Use Case

OG Algo Beta is best suited for traders who:

1.  Want to catch tokens right as smart wallets start buying
    
2.  Prefer faster, event-based signals over fixed time intervals
    
3.  Have higher risk tolerance and want early entry potential
    
4.  Are comfortable reacting quickly with a predefined plan
    

**Strategy tip:** our recommendation is the same as for OG Algo. Start with 100% trailing take profit, 50% stop loss.

[PreviousTrending Token Scan](https://gitbook.atm.day/algorithms/og-algo/trending-token-scan)
[NextPumpFun Algo](https://gitbook.atm.day/algorithms/pumpfun-algo)

Last updated 5 months ago

---

# PumpFun Algo | atm.day docs

PumpFun Algo is a high-risk&reward algorithm designed specifically to track early signals from tokens launched on PumpFun before they graduate to PumpSwap. It’s been consistently catching 50x+ tokens every single day.

Right now, the graduation rate is around 55% — that’s 55x higher than just blindly trading on PumpFun.

PumpFun Algo is available to all ATM Pro users with a 1-month or longer subscription

### 

[](https://gitbook.atm.day/algorithms/pumpfun-algo#core-sharacteristics)

Core Сharacteristics

*   **Signal Frequency:** 100-120 signals a day
    
*   **Trigger:** Based on smart wallet inflow, early holder quality, volume spikes, dev flags
    
*   **Average MC:** $20K–$60K at discovery
    
*   **Focus:** Hyper early entry, high-risk/high-reward setups
    

### 

[](https://gitbook.atm.day/algorithms/pumpfun-algo#historical-performance)

Historical Performance

*   **Avg ROI to ATH:** 171%
    
*   **Avg Graduation rate:** 55%
    
*   **Avg discovered MC:** $29k
    
*   **Top performer:** [$HOUSE — 4248x from discovery](https://t.me/atmdotday/2009)
    

### 

[](https://gitbook.atm.day/algorithms/pumpfun-algo#best-use-case)

Best Use Case

PumpFun Algo is best suited for traders who:

1.  Want to enter extremely early — within minutes of launch
    
2.  Have high risk tolerance and are okay with volatility/rugs
    
3.  Prefer doing instant DYOR (chart, holder scan, volume)
    
4.  Are experienced with pump.fun dynamics
    
5.  Understand that 60%+ of calls will fail — but the few that hit may do 50x+
    

[PreviousOG Algo Beta](https://gitbook.atm.day/algorithms/og-algo/og-algo-beta)
[NextStream Scalping Algo](https://gitbook.atm.day/algorithms/stream-scalping-algo)

Last updated 5 months ago

---

# LaunchLab Algo | atm.day docs

ATM LaunchLab & BonkFun algorithm discovers tokens from all Raydium LaunchLab platforms before they migrate. Filtered by smart wallets' activity (45%+ graduation rate, 50x+ every day).

LaunchLabs Algo is available to all ATM Pro users with a 1-month or longer subscription

### 

[](https://gitbook.atm.day/algorithms/launchlab-algo#core-caracteristics)

Core caracteristics

**Signal Frequency:** ~30–50 signals/day

**Target Tokens:** All tokens from LaunchLab including BonkFun before they graduate

**Trigger:** Based on smart wallet inflow, early holder quality, volume spikes, dev flags

**Average MC:** $15–$40k

**Focus:** Hyper early entry, high-risk/high-reward setups

### 

[](https://gitbook.atm.day/algorithms/launchlab-algo#top-tokens-discovered)

Top tokens discovered

1\. $HOSICO at $38k MC → 1184x

2\. $LetsBONK at $21k MC → 1380x

3\. $BRAWL at $35.6k MC → 134x

4\. $BONKY at $44k MC → 12x

5\. $CHACHA at $29k MC → 96x

### 

[](https://gitbook.atm.day/algorithms/launchlab-algo#best-use-case)

Best Use Case

LaunchLab&BonkFun Algo, same as PumpFun Algo, is best suited for traders who:

1.  Want to enter extremely early — within minutes of launch
    
2.  Have high risk tolerance and are okay with volatility/rugs
    
3.  Prefer doing instant DYOR (chart, holder scan, volume)
    
4.  Are experienced with LaunchLab dynamics
    
5.  Understand that 60%+ of calls will fail — but the few that hit may do 50x+
    

[PreviousStream Scalping Algo](https://gitbook.atm.day/algorithms/stream-scalping-algo)
[NextFour.meme Algo (first BNB)](https://gitbook.atm.day/algorithms/four.meme-algo-first-bnb)

Last updated 5 months ago

---

# OG Algo | atm.day docs

ATM OG Algo is our first algorithm, designed to suit the majority of traders.

It discovers tokens based on on-chain indicators (more in [ATM Core](https://gitbook.atm.day/algo-core)
) and discovers 72 signals per day. The key indicator is Professional Traders’ Activity.

### 

[](https://gitbook.atm.day/algorithms/og-algo#core-characteristics)

Core Characteristics

*   **Focus:** Mid-cap tokens ($100K – $2M MC)
    
*   **Discovery timing:** After first strong on-chain traction, before mass awareness
    
*   **Key signal:** Professional Traders’ Activity — entry from historically profitable wallets
    
*   **Use case:** Best fit for consistent 2x setups and short-term plays
    

### 

[](https://gitbook.atm.day/algorithms/og-algo#signal-overview)

Signal overview

Available in the Telegram bot and on the ATM website.

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252F4poARTFLiUWGOATdmQxP%252FFrame%25202087331145.png%3Falt%3Dmedia%26token%3D612dc38f-74c4-4c31-afef-d4b052156ce8&width=768&dpr=4&quality=100&sign=78a15889&sv=2)

Signal on Telegram Bot

Information

How it looks like

Why it's important

Trending token signal time

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FtnF44uFJv1MMhkJtsJJ3%252FScreenshot%25202025-05-23%2520at%252012.53.20.png%3Falt%3Dmedia%26token%3De4943ab0-c896-4c79-8383-32b8b81a997a&width=768&dpr=4&quality=100&sign=e9468337&sv=2)

Helps refine entry and exit strategies

Wallets in/out

![Website screen, also available on TG Bot](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FR9hYH0YY5UPH0Zhafbbz%252FFrame%25202087331147.png%3Falt%3Dmedia%26token%3Dc7bfe830-1c3c-4034-97d6-921b6499b498&width=300&dpr=4&quality=100&sign=d2a8ff11&sv=2)

Shows the number of profitable wallets that bought the token and the number of wallets (from wallets in) that have already sold at least part of their tokens (even if a wallet sold just 5% of what it bought — it still counts as “wallets out”).

Number of tokens pro traders' bought/sell

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FneQHk9iyPAbSbivHcqm2%252FFrame%25202087331148.png%3Falt%3Dmedia%26token%3D6cd8feb7-1080-4dc8-a3b9-07f599a95e26&width=768&dpr=4&quality=100&sign=1ab958e7&sv=2)

Shows the number of tokens bought vs sold by profitable wallets.

Helps assess the strength of buy-side conviction from smart wallets.

Volume in/out

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252F8O1ECjCNdvet8gTX4ehc%252FFrame%25202087331149.png%3Falt%3Dmedia%26token%3Dae9d321e-1748-45d4-b265-f0e9807f4b99&width=300&dpr=4&quality=100&sign=3265a994&sv=2)

Complements the two previous metrics — helps clarify how much profitable wallets actually sold (and how strong the signal really is).

For example: 29 wallets bought $11K worth, but only 24 of them sold $465 — meaning most are still holding.

Avg buy/sell price

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FuSRY2w4amzRHie2IZchl%252FFrame%25202087331150.png%3Falt%3Dmedia%26token%3D66d39928-bebe-4729-8eb3-defa43a90452&width=768&dpr=4&quality=100&sign=276a8ca9&sv=2)

The difference between the entry price of profitable wallets and the current price.

The smaller the gap, the closer you are to where smart wallets entered.

DEX Paid/not paid

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FpIgcI8MkgaAQIkiQfqXT%252FScreenshot%25202025-05-23%2520at%252012.54.35.png%3Falt%3Dmedia%26token%3D4a8dda0d-b3cd-4278-8276-f6b39e831fff&width=300&dpr=4&quality=100&sign=b65dda95&sv=2)

Whether Dexscreener is paid — shows how serious the dev might be.

In the tg bot, the Audit line has the following states:

🟢 DEX Paid, Not Mintable, Not Freezable

🟡 DEX not paid

🔴 Freezable / Mintable

Token Mintable/Not Mintable

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FxlZz8B7b8eNzS9cJEnW3%252FFrame%25202087331154.png%3Falt%3Dmedia%26token%3D9b5647c5-0d4c-4eb1-896a-6078e6a530b7&width=300&dpr=4&quality=100&sign=f0d68c06&sv=2)

Not mintable = no new tokens can be created (total supply is fixed).

If Mintable — there’s a high risk of a rug, as the dev can mint unlimited tokens.

Token Freezable/Not Freezable (or "Blacklist")

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FALyLEDqmXfjLgcgPCVO9%252Fgg.png%3Falt%3Dmedia%26token%3D2d3a143f-5e23-4250-a3e9-8953c1b7e94c&width=300&dpr=4&quality=100&sign=df0588a2&sv=2)

Not freezable (or blacklist) = the token owner cannot freeze or block other users’ tokens (including traders).

If Freezable — there’s a high rug risk, as the dev can lock users’ funds.

Strategy suggestions

(available only on TG bot)

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FsJMzc15zGKZRIwVJGDrM%252FScreenshot%25202025-05-23%2520at%252012.44.13.png%3Falt%3Dmedia%26token%3D601e810d-fa4d-45a8-b739-df5f18bf1393&width=768&dpr=4&quality=100&sign=c8dce52&sv=2)

Strategy suggestions help you quickly see how other ATM Pro users plan to exit, making it easier to shape your own approach

### 

[](https://gitbook.atm.day/algorithms/og-algo#historical-performance-april-2025)

Historical Performance (April 2025)

*   **Tokens analyzed:** 2,140
    
*   **Winrate:** 77%
    
*   **Avg ROI to ATH:** 190%
    
*   **Avg Time to ATH:** 11 hours
    
*   **Avg Market Cap at ATH:** $770K
    
*   **Top performer:** $TROLL — 490x from discovery
    

### 

[](https://gitbook.atm.day/algorithms/og-algo#best-use-case)

Best Use Case

OG Algo is best suited for traders who:

1.  Want to catch tokens in their early growth phase, but after the first on-chain confirmation
    
2.  Have medium risk-tolerance (consistency over high rewards)
    
3.  Prefer doing quick research post-signal (e.g. social scan, chart, holders)
    
4.  Use a defined entry/exit framework
    

**Strategy tip:** our recommendation is to start with 100% trailing take profit, 50% stop loss

[PreviousSmart Wallets database](https://gitbook.atm.day/smart-wallets-database)
[NextTrending Token Scan](https://gitbook.atm.day/algorithms/og-algo/trending-token-scan)

Last updated 5 months ago

---

# Stream Scalping Algo | atm.day docs

Scalp 30%+ once a Pumpfun Stream starts. Algo tracks 7k+ stream tokens, applies 20+ filters, selects those most volatile during streams, and alerts when the token is live.

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252Fte8eCrsBwwZP2upPk0fb%252FScreenshot%25202025-10-07%2520at%252015.32.13.png%3Falt%3Dmedia%26token%3D28da0871-f3ad-4535-ad8d-b7d440be2026&width=768&dpr=4&quality=100&sign=c4ed3403&sv=2)

![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FuUOBPoM7sxUU5y9x2tpS%252FScreenshot%25202025-10-07%2520at%252015.29.34.png%3Falt%3Dmedia%26token%3D622e5405-137d-473c-ae4d-5ade310c71ec&width=768&dpr=4&quality=100&sign=ac12c08d&sv=2)

Stream Scalping Algo is available to all ATM Pro users with a 1-month or longer subscription

### 

[](https://gitbook.atm.day/algorithms/stream-scalping-algo#core-sharacteristics)

Core Сharacteristics

*   Objective: Scalp +30% post-stream window
    
*   Universe: 7,000+ tokens that have streamed on Pumpfun
    
*   Filters: 20+ indicators (liquidity, holder activity, volume spikes, dev flags, stream stats etc.)
    
*   Trigger: alerts when the stream starts for tokens that historically move during streams
    
*   Signal Rate: ~30 tokens/day (after filtering)
    

### 

[](https://gitbook.atm.day/algorithms/stream-scalping-algo#historical-performance)

Historical Performance

Tokens that hit +10% after stream start

83%

Signals per day

~30

Median ROI to ATH within 1h

37%+

### 

[](https://gitbook.atm.day/algorithms/stream-scalping-algo#best-use-case)

Best Use Case

Stream Algo works best when you:

1.  Want to catch momentum right when streams start
    
2.  Trade high-volatility tokens
    
3.  Want to confirm signal via wallet + volume data
    
4.  Accept that not every call will succeed — but the ones that do can be very profitable
    

[PreviousPumpFun Algo](https://gitbook.atm.day/algorithms/pumpfun-algo)
[NextLaunchLab Algo](https://gitbook.atm.day/algorithms/launchlab-algo)

Last updated 19 days ago

---

# Four.meme Algo (first BNB) | atm.day docs

Discover BNB tokens before they graduate to PancakeSwap.

The first ATM algorithm on BNB, Four.Meme tracks early tokens on four.meme, applies 20+ filters, and identifies those most likely to graduate.

44% of discovered tokens successfully migrate.

Four.Meme Algo is available to all ATM Pro users with a 1-month or longer subscription

### 

[](https://gitbook.atm.day/algorithms/four.meme-algo-first-bnb#core-characteristics)

Core Characteristics

*   Objective: Discover pre-graduated tokens on four.meme before they list on PancakeSwap
    
*   Universe: 1,600+ analyzed discoveries on BNB
    
*   Filters: 20+ on-chain indicators — liquidity, wallet concentration, holder activity, volume spikes, dev behavior, and others
    
*   Trigger: Profitable Wallets Buys
    
*   Signal Rate: ≈90 tokens/day (after filtering 5k+ tokens/day)
    

### 

[](https://gitbook.atm.day/algorithms/four.meme-algo-first-bnb#historical-performance)

Historical Performance

_Discoveries analyzed: 1,600_

*   **Average Market Cap:** $33K
    
*   **Graduation Rate:** 44%
    
*   **Average ROI:** 187%
    

### 

[](https://gitbook.atm.day/algorithms/four.meme-algo-first-bnb#best-use-case)

Best Use Case

Four.Meme Algo works best when you:

1.  Want to enter extremely early — within minutes of launch
    
2.  Have high risk tolerance and are okay with volatility/rugs
    
3.  Prefer doing instant DYOR (chart, holder scan, volume)
    
4.  Are experienced with pump.fun dynamics
    
5.  Understand that 60%+ of calls will fail — but the few that hit may do 50x+
    

[PreviousLaunchLab Algo](https://gitbook.atm.day/algorithms/launchlab-algo)
[NextVolume checker](https://gitbook.atm.day/dyor-tools/volume-checker)

Last updated 1 day ago

---

# Trading psychology basics | atm.day docs

You can have the best entry in the world — and still lose money. The problem is rarely the signal. It’s how you handle it. This page covers the core psychological principles that separate consistent traders from emotional ones.

### 

[](https://gitbook.atm.day/trading-psychology-basics#id-1.-formulate-the-exit-strategy-before-you-enter)

1\. Formulate the exit strategy before you enter

Every trade starts with a plan to get out.

Decide before entering:

1.  Target ROI (e.g. 2x, 3x, TRTP)
    
2.  Stop-loss threshold (e.g. -30%, -50%)
    
3.  Time-based condition (e.g. exit in 90 mins if not moving)
    
4.  How much size you’re using
    

### 

[](https://gitbook.atm.day/trading-psychology-basics#id-2.-avoid-overexposure)

2\. Avoid overexposure

Never size based on conviction. Size based on risk tolerance and worst-case scenario.

Ask:

1.  What if this token rugs in 10 minutes?
    
2.  Am I okay losing this amount?
    
3.  Will it affect how I behave on the next trade?
    

Don't enter any trade for more than 3% of your trading deposit.

### 

[](https://gitbook.atm.day/trading-psychology-basics#id-3.-normalize-small-losses)

3\. Normalize small losses

A stop-loss at -50% sounds bad, but it protects you from -95% rugs. Getting stopped out = part of the game.

The goal isn’t to win every trade — it’s to protect capital and stay in profit consistently form month to month. So earlier you understand that this one trade was a mistake — less you lose.

### 

[](https://gitbook.atm.day/trading-psychology-basics#id-4.-track-behavior-not-just-outcomes)

4\. Track behavior, not just outcomes

Review not only PnL, but _your own behavior_:

1.  Did you enter on time?
    
2.  Did you follow your exit strategy?
    
3.  What caused deviation?
    

Track this with a simple column in your journal:

> “Did I follow my plan?” → Yes / No

### 

[](https://gitbook.atm.day/trading-psychology-basics#id-5.-stop-trading-after-emotional-events)

5\. Stop Trading After Emotional Events

If you:

1.  Just took a big loss
    
2.  Missed a 10x pump
    
3.  Made a revenge trade
    

→ Stop.

Emotional volatility leads to poor decisions, usually disguised as “opportunities.” Take a break, review, come back neutral.

### 

[](https://gitbook.atm.day/trading-psychology-basics#id-6.-zoom-out)

6\. Zoom Out

It’s not about _this_ trade. It’s about the next 50.

The edge is statistical. One win means nothing. One loss means nothing.

But a system that works 55% of the time — with proper sizing — can make you unstoppable.

* * *

### 

[](https://gitbook.atm.day/trading-psychology-basics#id-7.-materials)

7\. Materials

#### 

[](https://gitbook.atm.day/trading-psychology-basics#id-1.-trade-review-template)

1\. Trade Review Template

Trade ID

Token

Outcome (P/L)

Did I follow my plan? (Y/N)

What emotion dominated?

Mistake made?

What I’ll do next time

#23

$MEOW

+45%

Yes

Calm

None

Repeat this setup

#24

$SAD

\-60%

No

FOMO

Entered late

Only enter fresh calls

**→ Goal:** Identify behavioral patterns behind wins and losses to improve future decision-making.

#### 

[](https://gitbook.atm.day/trading-psychology-basics#id-2.-pre-trade-checklist)

2\. Pre-Trade Checklist

*   Am I entering this trade with a clear plan (TP + SL)?
    
*   Have I sized my position based on risk, not greed?
    
*   Am I calm — or chasing?
    
*   Will I be okay even if I lose this trade?
    

**→ Goal:** Create a deliberate pause before clicking “Buy.”

#### 

[](https://gitbook.atm.day/trading-psychology-basics#id-3.-emotional-triggers-log)

3\. Emotional Triggers Log

After each batch of trades, write down:

*   What threw me off balance?
    
*   When did I feel FOMO?
    
*   What actions did I take out of fear or greed?
    
*   How did that affect the outcome?
    

**→ Goal:** To identify and document emotional triggers so you can control them better in the future.

[PreviousTrade-on-paper Guide](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide)
[NextDegen Toolkit to use with ATM](https://gitbook.atm.day/degen-toolkit-to-use-with-atm)

Last updated 5 months ago

---

# Volume checker | atm.day docs

Check the **percentage of fake trading volume** for Pumpfun pre-graduation tokens.

This is a unique DYOR edge that will help you gain an advantage. (We think it’s as big of an edge in the trenches as bundle checks were a year ago!)

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#what-you-get)

What you get:

*   Total volume & tx count
    
*   Buy / Sell split (with avg trade size)
    
*   Loop detection — patterns typical for wash trading (inner/outer loops)
    
*   Estimated fake volume % — volume very likely generated by bots / self-trading
    

**We intentionally keep the exact algorithm private, but in short:**

*   We track address clusters, inner & outer loops and other fake-volume creation flows typical for volume bots.
    
*   You get the most accurate fake volume percentage on the market.
    

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#scope-and-current-limits)

Scope & current limits

*   Supported: Pump.fun tokens
    
    *   Before graduation
        
    *   Launched < 12 hours ago
        
    

**Why:** early trading is where volume manipulation is most impactful and hardest to see on plain charts.

> If a token already graduated, analysis may be blocked or labeled as potentially faulty.

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#how-to-use-telegram)

How to use (Telegram)

1.  Open [t.me/atmdotday\_bot](https://t.me/atmdotday_bot)
    
2.  Send: /volumecheck \[pumpfun wallet address\]
    

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#interpreting-the-output)

Interpreting the output

_Example output_

**Fake/Organic volume check** ├ Total vol: $65.0k (350sol), 1,765 txs ├ Buys: $33k (177sol), 51% (avg: 0.2sol) ├ Sells: $32k (173sol), 50% (avg: 0.21sol) ├ Loop Detection: inner 36 | outer 694 └ **🔴 Fake vol: 12.6%** — $8174.2 (44sol), 730 txs (41%)

#### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#fields-explained)

Fields explained

*   Total vol — traded value in USD & SOL and total tx count.
    
*   Buys / Sells — side breakdown:
    
    *   Volume (USD/SOL)
        
    *   Avg trade size (in SOL)
        
    
*   Loop Detection
    
    *   Inner — buy and sell happen within the same instruction.
        
    *   Outer — buy and sell happen in different instructions, but:
        
        *   both transactions are signed by the same wallet, and
            
        *   the same amount of tokens is sold as bought within 15 blocks (≈5 seconds).
            
        
    
*   Fake vol
    
    *   Note the gap between fake volume % and fake tx % — bots often use many tiny txs
        
    

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#thresholds)

Thresholds

Use these as guidelines, not absolutes (context matters):

*   0–1% → _Clean._ Likely organic order flow
    
*   2–10% → _Caution._ Some bot activity
    
*   10%+ → _Elevated risk._ Consider smaller sizing, tighter risk
    

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#best-practices)

Best practices

*   If you see fake vol rising while MC caps out → avoid chasing; wait for reset or switch to better names.
    
*   Before sizing up:
    
    *   Re-check volume quality
        
    *   Validate holders / profit wallets data in ATM
        
    *   Define risk, exit triggers, invalidation
        
    
*   Share results & discuss setups in ATM Basement — collective DYOR helps spot edge cases faster.
    

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#errors-and-troubleshooting)

Errors & troubleshooting

*   “Token already graduated” → currently out of scope; run only for pre-grad / <12h tokens.
    
*   “No more checks left today” → you hit the free limit.
    
    *   [ATM Pro](https://atm.day/atm-pro)
        : unlimited checks + priority processing (faster results).
        
    
*   “Invalid contract” → ensure it’s the Pumpfun token address (not Raydium, etc).
    

### 

[](https://gitbook.atm.day/dyor-tools/volume-checker#pro-tips-for-atm-pro)

Pro tips ([for ATM Pro](https://atm.day/atm-pro)
)

*   Unlimited checks
    
*   Priority processing — check tokens faster
    
*   [Available by default in Pumpfun Algo discoveries](https://gitbook.atm.day/algorithms/pumpfun-algo)
    

[PreviousFour.meme Algo (first BNB)](https://gitbook.atm.day/algorithms/four.meme-algo-first-bnb)
[NextFormulating trading strategy](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy)

Last updated 5 days ago

---

# Trade-on-paper Guide | atm.day docs

Before risking real capital, we highly recommend that you paper trade ATM signals. You can do that 1-2 days before start trading with the real capital.

Don't worry: you'll still have enough time to pay-off the subscription and get some gains, strongly suggest you not neglect this part.

This is the fastest way to:

1.  Test different entry/exit setups
    
2.  Understand which algo fits your style (OG, LaunchLab, Pumpfun)
    
3.  Build confidence using ATM without financial risk
    

### 

[](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide#why-paper-trade)

Why Paper Trade?

Many users lose money not because signals are bad — but because they:

*   Enter too late
    
*   Don’t have a consistent exit strategy
    
*   Don’t track performance and repeat mistakes
    

Paper trading solves this. It helps you spot patterns, test setups, and find what works for you.

### 

[](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide#what-youll-need)

What You’ll Need

1.  A spreadsheet or notes app
    
2.  60–90 minutes per day
    
3.  Access to ATM signals ([ATM Pro](https://atm.day/atm-pro)
     subscription)
    

### 

[](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide#suggested-table-format)

Suggested Table Format

Create a Google Sheet or Notion page with the following columns:

Timestamp

Token

Algo

Entry Price

Target (2x?)

Stop Loss (-50%?)

Max Drawdown

Peak ROI

Time to ATH

Notes

12:15 UTC

$TKN

OG

$0.0012

$0.0024

$0.0006

\-28%

3.4x

4h 12m

Good entry, pumped 30 min later

13:50 UTC

$LOL

Pumpfun

$0.0009

$0.0018

$0.00045

\-12%

1.4x

—

Flat after 1h

### 

[](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide#exit-strategy-examples)

Exit Strategy Examples

These are commonly used with ATM:

Strategy Name

Description

100% TRTP / 50% SL

Take profit if price doubles (auto trailing), cut at -50%

ROI Bands

Sell 50% at 2x, rest at 3x or SL

Time-Based Exit

Sell after 2 hours unless it hits a clear target

### 

[](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide#what-to-look-for)

What to Look For

After 10–20 trades, start asking:

*   Am I entering too late?
    
*   Am I cutting winners too early?
    
*   Which algo fits my rhythm?
    
*   Do early drawdowns shake me out?
    

### 

[](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide#when-to-go-live)

When to Go Live

Go live with real capital only when:

*   You’ve tested at least 30 trades
    
*   You’ve found an exit strategy you’re confident in
    
*   You’re emotionally neutral about outcomes
    
*   You can replicate profitable setups
    
*   You understand the specific of each ATM Algo
    
*   You've formulated your trading strategy
    

[PreviousDYOR](https://gitbook.atm.day/strategies-and-education/dyor)
[NextTrading psychology basics](https://gitbook.atm.day/trading-psychology-basics)

Last updated 5 months ago

---

# Formulating trading strategy | atm.day docs

ATM provides entry signals based on on-chain indicators. Your job is to turn them into a repeatable system: when to enter, when to exit, and how much to risk.

### 

[](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy#id-1.-define-your-trading-objectives)

1\. Define Your Trading Objectives

Start by deciding:

*   What type of moves are you targeting?
    
    (Quick scalps, 2x flips, 10x runners, long holds)
    
*   How often do you want to trade?
    
    (Multiple times a day, once per session, few high-quality entries per week)
    
*   What’s your acceptable risk per trade?
    
    (% of capital you’re okay losing — common: 1–3%)
    

Clarity here makes everything else easier.

### 

[](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy#id-2.-choose-entry-conditions)

2\. Choose Entry Conditions

Use ATM signals to filter opportunities.

Your entry criteria should include at least 2–3 of the following:

Metric

Why It Matters

Wallets In > Wallets Out

Smart money flow is positive

Buy/Sell Ratio > 1.5

Buy pressure > sell pressure

Volume In Growing

Indicates momentum

Low Market Cap ($50K–300K)

More upside, more volatility

Fresh token (<30 min)

Still early in lifecycle

Example rule:

> “Enter if token is <20m old, MC < $150K, net wallet inflow positive, buy volume is 10%+ more than sell volume.”

### 

[](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy#id-3.-define-exit-strategy)

3\. Define Exit Strategy

Pick one exit rule and stick to it for at least 10–15 trades.

Exit Type

Example Rule

Fixed ROI

Sell 100% at 2x or 3x

TRTP + SL

Trailing TP at +100%, SL at -50%

Time-Based

Exit if price flat after 60–90 mins

Staggered

Sell 50% at 2x, rest at 3–5x or with trailing stop

Momentum Exit

Exit if volume or wallet flow flips negative

Make sure it fits your risk tolerance and time availability.

Tip: [ATM Algo Stats](https://atm.day/stats)
 might help you to define better your expectations from the token

### 

[](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy#id-4.-position-sizing)

4\. Position Sizing

*   Decide % of capital per trade (e.g., 2%)
    
*   Avoid oversized positions based on “conviction”
    
*   Plan for 10+ trades in a row without blowing up
    

Example:

If your account = $5,000 and risk per trade = 2% → Max loss = $100 → Adjust size accordingly based on SL.

### 

[](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy#id-5.-track-and-evaluate)

5\. Track & Evaluate

Use this template or your own sheet to track each trade:

1.  Token + Algo
    
2.  Entry + Exit price
    
3.  ROI
    
4.  Did you follow your system? (Yes/No)
    
5.  What went right/wrong?
    

**Sample for your own sheet:**

Timestamp

Token

Algo

Entry price

Target (2x?)

Stop Loss (-50%?(

Max Drawdown

Peak ROI

Time to ATH

Note

12:15 UTC

$TKN

OG

$0.0012

$0.0024

$0.0006

\-28%

3.4x

4h 12m

Good entry, pumped 30 min later

13:50 UTC

$LOL

Pumpfun

$0.0009

$0.0018

$0.00045

\-12%

1.4x

—

Flat after 1h

**After 20–30 trades, ask:**

1.  What % are profitable?
    
2.  Are losses controlled?
    
3.  Am I improving execution?
    

If not — tweak only _one variable_ at a time.

### 

[](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy#id-6.-strategy-examples-starter-kits)

6\. Strategy Examples (Starter Kits)

Style

Description

Expected Win Rate

Sample Exit

Scalping

In & out within 5–10 mins

High

+30–50% TP, -20% SL

2x Flips

Most ATM signals work here

Medium

TP at 2x, SL at -50%

Trend Runners

Ride to 5–10x+

Low

Partial exits + trailing

Narrative Plays

Based on memes/social hype

Variable

Exit on momentum loss

### 

[](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy#final-checklist-before-you-trade)

Final Checklist Before You Trade

*   I know when I’ll enter
    
*   I know how I’ll exit (TP + SL)
    
*   I know how much I’m risking
    
*   I’ve backtested or paper traded this setup
    
*   I will log every trade I take
    

If you can’t check all five — don’t trade yet.

3KB

[Trading\_Strategy\_Worksheet\_ATM.pdf](https://2860842804-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEZ1ysAY9eM7zc6Lo49PC%2Fuploads%2FPXVe5jGiIMjbt6cht4mA%2FTrading_Strategy_Worksheet_ATM.pdf?alt=media&token=1da92c8f-9d9d-4ece-9ed1-a3792b565c88)

PDF

Download[Open](https://2860842804-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEZ1ysAY9eM7zc6Lo49PC%2Fuploads%2FPXVe5jGiIMjbt6cht4mA%2FTrading_Strategy_Worksheet_ATM.pdf?alt=media&token=1da92c8f-9d9d-4ece-9ed1-a3792b565c88)

worksheet for you to fill in

[PreviousVolume checker](https://gitbook.atm.day/dyor-tools/volume-checker)
[NextDYOR](https://gitbook.atm.day/strategies-and-education/dyor)

Last updated 5 months ago

---

# DYOR | atm.day docs

ATM gives you strong, data-driven entries. But your own filter determines what’s actually worth trading. This page shows how to make quick, confident decisions using tools inside & outside ATM.

### 

[](https://gitbook.atm.day/strategies-and-education/dyor#general-parameters)

General parameters

Check

What to Look For

Tool

Liquidity

Is there enough to exit later?

Dexscreener/Axiom

Influencers' mentions & buys

What tier of influencers mention the token?

Zap.xyz/KOLscan/Tweetscout

Holder distribution

Is it real or mostly bots?

Holderscan.com

Sell pressure

Is there heavy dumping?

Buy/Sell ratio on Axiom/Dexscreener + Smart wallets' activity on ATM

Chart structure

Trend or trap?

Dexscreener

### 

[](https://gitbook.atm.day/strategies-and-education/dyor#atm-specific-parametrs)

ATM-specific parametrs

Check

Where to Look

Why It Matters

Profit Wallet Behavior - Wallets In / Out - Tokens bought/sold - Volume in/out - Difference between current price and market price

Signal on TG/Website![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FNwb6slJVsJdqZnaLNvBa%252FScreenshot%25202025-05-22%2520at%252022.28.48.png%3Falt%3Dmedia%26token%3Dbd9b4af9-7007-4b5b-9e69-a1a1a4dfe20b&width=300&dpr=4&quality=100&sign=5815b387&sv=2)

Are high-performing wallets buying or exiting?

Token not Mintable/Freezable

Signal on TG/Website ![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252F3AojC622OHuvCZp2U1cz%252FScreenshot%25202025-05-22%2520at%252022.33.14.png%3Falt%3Dmedia%26token%3Df72f3a93-0587-4120-9e0c-396648dcf389&width=300&dpr=4&quality=100&sign=28b0e7fd&sv=2)

Mintable/Freezable = major rug risk, avoid unless clear reason

DEX paid/not paid

Signal on TG/Website ![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FtbwLWUNJ18eTQcz8sMzs%252FScreenshot%25202025-05-22%2520at%252022.33.27.png%3Falt%3Dmedia%26token%3Dc62ae621-c165-4e04-ba25-7566c3ebfb7b&width=300&dpr=4&quality=100&sign=b3109305&sv=2)

Paid = higher trust from the community

Strategy Suggestions

Signal on TG/Website![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FCbQrNbzyXPiaIExbnQQt%252FScreenshot%25202025-05-22%2520at%252022.27.58.png%3Falt%3Dmedia%26token%3D98766863-6add-46f9-bffc-5adba0cbc7e8&width=300&dpr=4&quality=100&sign=67b82b4e&sv=2)

Get exit plans from other experienced users

Cabal Chat Reactions

Telegram → Cabal Group ![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FwOkiG12DXMC8UjzkNxY3%252FScreenshot%25202025-05-22%2520at%252022.27.13%25201.png%3Falt%3Dmedia%26token%3Ddf14bb0a-4337-4a4a-8e53-6f462aeedba5&width=300&dpr=4&quality=100&sign=1c8f2f36&sv=2)

Real-time sentiment from PRO traders

Age Since Discovery

Signal timestamp ![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252FZX5UjyiPbDNPvDSsCoNQ%252FScreenshot%25202025-05-22%2520at%252022.26.11.png%3Falt%3Dmedia%26token%3D4aede804-1a9e-4df1-8bab-807b737b641b&width=300&dpr=4&quality=100&sign=a4d64501&sv=2)

Are you early or late to the move?

Cross-Algorithm Confirmation

Signal appears in more than one algo ![](https://gitbook.atm.day/~gitbook/image?url=https%3A%2F%2F2860842804-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FEZ1ysAY9eM7zc6Lo49PC%252Fuploads%252Ff8cOWLpJpjXgtoGPzKOa%252FScreenshot%25202025-05-22%2520at%252022.20.11.png%3Falt%3Dmedia%26token%3D671a05a7-249e-4b22-8dc8-74e55d1b1112&width=300&dpr=4&quality=100&sign=8c97308&sv=2)

Stronger validation — multiple models agree

Tip: If a token is detected by more than one ATM algo (e.g. OG + LaunchLab) — it’s often a much stronger setup. This typically means it has both early momentum and structural quality.

### 

[](https://gitbook.atm.day/strategies-and-education/dyor#how-to-use-it-in-60-seconds)

How to Use It in 60 Seconds

1.  See signal
    
2.  Is smart money volume buy/sell ratio > 1.5?
    
3.  Look at users’ strategies for exit ideas
    
4.  Optional: check what Cabal is saying about this token
    
5.  Decide to trade or pass.
    
6.  If entering → set exit plan immediately
    

### 

[](https://gitbook.atm.day/strategies-and-education/dyor#what-not-to-do-even-inside-atm)

What Not to Do (Even Inside ATM)

*   Don’t trade just because a token is green
    
*   Don’t ignore wallet flow — it’s often the earliest exit indicator
    
*   Don’t overestimate a token just because it’s trending — double check pressure + spread
    
*   Don’t blindly copy user strategies — use them to inform, not dictate
    

### 

[](https://gitbook.atm.day/strategies-and-education/dyor#optional-tools-outside-atm)

Optional Tools (outside ATM)

Only if you want to go deeper:

*   Tweetscout / KOLscan → check meme traction
    
*   Zap.xyz → verify wallet moves in more detail
    
*   Sandwiched → see if insiders are frontrunning
    

[PreviousFormulating trading strategy](https://gitbook.atm.day/strategies-and-education/formulating-trading-strategy)
[NextTrade-on-paper Guide](https://gitbook.atm.day/strategies-and-education/trade-on-paper-guide)

Last updated 5 months ago

---

# Degen Toolkit to use with ATM | atm.day docs

ATM gives you the edge with on-chain metrics. You can also pair it with off-chain sentiment through other tools. These help you make smarter use of ATM signals, do deeper DYOR based on off-chain sentiment, and get a clearer view of the broader market.

Tool

Description

[KOLscan](https://kolscan.io/)

Tracks influencers' buys based on 150 public wallets.

[Tweetscout](https://tweetscout.io/)

Monitors tokens mentioned in influencer X posts; helps assess social signal strength, checks if X was renamed, finds tokens' teams based on their X descriptions.

[Getmoni](https://getmoni.io/)

Same as Tweetscout — helps to check X sentiment.

[Zap.xyz](http://zap.xyz/)

Tracks tokens' telegram mentions based on 2,500+ tg channels.

[Sandwiched](https://sandwiched.me/sandwiches)

Visualizes sandwich attacks and insider entries on Solana tokens — helps spot anomalies.

[Holderscan](https://holderscan.com/)

Analyzes holder distribution of Solana tokens — identifies concentration and bundle patterns.

[ATM Dune Dashboard](https://dune.com/atmday/pumpfun-pumpswap)

Dune dashboard by ATM for Pump.fun/Pumpswap. Helps you to better understand the market, compare different market conditions.

[Maestro Scraper](https://docs.maestrobots.com/maestro-scraper/scraper-setup)

Might help you to automate trading with ATM signals if you'll decide to give it a try (note: suggest to start from trading on paper first)

[PreviousTrading psychology basics](https://gitbook.atm.day/trading-psychology-basics)

Last updated 5 months ago

---